The University Hospital Bonn (UKB) is one of Germany’s leading university hospitals, combining top-level performance in medicine and research with excellence in teaching. Each year, more than half a million patients receive inpatient and outpatient care at the UKB. Around 3,500 students study medicine and dentistry here, and over 600 people are trained annually in healthcare professions. With approximately 9,900 employees, the UKB is the third-largest employer in the Bonn/Rhein-Sieg region. In the Focus hospital ranking, the UKB ranks first among university hospitals in North Rhine-Westphalia and second nationwide in terms of case mix index (case severity). In 2024, the UKB raised nearly €100 million in third-party funding for research, development, and teaching. The F.A.Z. Institute has named the UKB “Germany’s Training Champion” and “Germany’s Most Attractive Employer” for the fourth consecutive year. The following full-time **(38.5 hours/week) position is to be filled as soon as possible in the Division for Computational Radiology & Clinical AI (CCIBonn.ai)** of the University Hospital Bonn: Software Engineer/Developer (m/f/d) The position is limited to 2 years. We, at the division for Computational Radiology & Clinical AI (CCIBonn.ai) at the University Hospital Bonn / University of Bonn (PI: Philipp Vollmuth – Full Professor of AI in Medical Imaging), are seeking applications for Software Engineer positions to support our software platform team. Our research group has consistently contributed to leading journals and conferences, and we are developing a range of tools to support our research projects. You can check out our work on our GitHub organizations (OpenRadX (https://github.com/openradx)  and CCIBonn (https://github.com/CCI-Bonn) ). This opportunity offers a unique chance to work at the forefront of medical AI and contribute to substantial advancement in the medical field. You will be part of a dynamic team that bridges the gap between cutting-edge AI research and clinical application, ensuring that our software tools are robust, efficient, and user-friendly. Tasks: - Develop, test, and maintain software applications for computational radiology and medical AI - Program backend and frontend code for tools like ADIT (Automated DICOM Transfer Tool) (https://github.com/openradx/adit)  and RADIS (Radiology Report Archive and Discovery System) (https://github.com/openradx/radis) - Work closely with researchers and clinicians to implement and enhance application features - Write technical documentation Requirements: - A master’s degree in computer science, software engineering, or a related field. - Documented contributions to open-source projects (own repositories or significant contributions to established projects) are required. Please provide links to relevant GitHub or GitLab profiles in your application - Proficiency in web programming and expertise in programming languages such as Python, TypeScript, and/or Rust - Experience with tools and frameworks such as Django, pytest, PostgreSQL, Docker, and PyTorch is advantageous - Knowledge of medical imaging data, DICOM standards, NLP, full-text search, semantic search, RAG, fine-tuning of deep learning models, and agentic engineering is considered a plus - Strong problem-solving skills and the ability to work collaboratively within a multidisciplinary team - German language proficiency at B2 level or higher is mandatory. Applicants must be able to communicate fluently in spoken and written German in a clinical and technical environment. Applications without demonstrated B2-level proficiency in German will not be considered - Excellent communication skills in English, both written and verbal **We offer:**  - Competitive 2 years 100% contract within TV-L E-13 standard, with the possibility for extension. - Exclusive access to the latest and powerful computing resources (NVIDIA DGX H200 and B200 clusters). - Collaborate with a dynamic and multidisciplinary team bridging AI research and clinical application. - Opportunities to attend national and international conferences (e.g. MICCAI, CVPR) - **Responsible and diverse:** A position with plenty of room for creativity and responsibility within a supportive and collegial team - **Fair compensation:** Pay according to the TV-L EG13 collective agreement, including annual bonus and company pension scheme - **Family-friendly flexibility:** Flexible working time models, access to a place in our company daycare center, and programs supporting employees returning from parental leave - **Smart commuting:** Excellent connection to the SWB public transport - **Supported development:** Individual training opportunities through courses, e-learning programs, and coaching sessions - **Structured onboarding:** A systematic introduction to your new role and team - **Healthy at work:** A wide range of health and wellness programs, plus free membership at the UKB fitness studio - **Employee benefits:** Access to discounted offers for employees (corporate benefits) We are committed to diversity and equal opportunities. Our goal is to increase the proportion of women in areas where women are underrepresented and to particularly promote their careers. We therefore urge relevantly qualified women to apply. Applications are treated in accordance with the State Equal Opportunities Act. Applications from suitable people with proven severe disabilities and those of equal status are particularly welcome. How to apply: If you meet the above requirements, please send your complete application documents to contact@ccibonn.ai (https://mailto:contact@ccibonn.ai) , including: - ST-number 48006 - CV - Academic transcripts (including final grades) - Proof of German proficiency at B2 level or higher (unless native speaker) - GitHub or GitLab profile link - A short description (max. 1 page) of one software system personally designed and implemented, including technologies used and specific responsibilities Only applications including all required materials will be considered. Division for Computational Radiology & Clinical AI University Hospital Bonn Baunscheidtstraße 17 53113 Bonn Email: contact@ccibonn.ai www.ccibonn.ai Ergänzende Informationen: Anforderungen an den Bewerber: Expertenkenntnisse: Open-Source-Plattform Kibana, Open-Source-Plattform Kubernetes

Pracovní místo vyhrazené pro osoby se zdravotním postižením dle § 67, zákona č. 435/2004 Sb. Náplň práce: kontrola a evidence osob a vozidel u vstupu do areálu a pochůzková činnost. Požadujeme: zodpovědnost Zájemci se mohou hlásit: - zasláním životopisu (CV) na e-mail: office@hb-group.cz; - telefonicky (v pracovní dny 08:00 - 15:00hod.) na čísle 724 235 476 - paní Lucie Váňová

Pracovní místo vyhrazené pro osoby se zdravotním postižením dle § 67, zákona č. 435/2004 Sb. Náplň práce: kontrola a evidence osob a vozidel u vstupu do areálu a pochůzková činnost. Požadujeme: zodpovědnost Zájemci se mohou hlásit: - zasláním životopisu (CV) na e-mail: office@hb-group.cz; - telefonicky (v pracovní dny 08:00 - 15:00hod.) na čísle 724 235 476 - paní Lucie Váňová

We are looking for a native English speaker for teaching English courses on Thursdays 10:00 to 16:00. If you are interested, send us a CV to hr@vzdelavanimetis.eu, Subject "English - Slaný". Pro firemní kurzy anglického jazyka hledáme rodilého mluvčího. Výuka bude probíhat vždy ve čtvrtek v čase 10:00 - 16:00 hodin. V případě zájmu zašlete životopis na hr@vzdelavanimetis.eu, do předmětu uveďte "English - Slaný".

Nástup možný IHNED. Náplň práce: obsluha tvářecích strojů - skružování plechů a profilů, ohraňování, řezání Požadujeme: praxi v oboru, orientaci ve výkresové dokumentaci, znalost práce s plechy a profily, samostatnost, spolehlivost, zručnost, pečlivost. Zájemci se mohou hlásit: - zasláním životopisu (CV) na e-mail: bernat@prest-prerov.cz Poznámka: osobní schůzka možná pouze po předchozím dohovoru

Wij zoeken een gedreven en ervaren installateur Sanitair en/of HVAC voor werven in West- en Oost-Vlaanderen.

Randstad Construct: VG 819/BC

• Je hebt een relevante werkervaring in sanitaire en/of HVAC-installaties.
• Kennis van centrale verwarming is noodzakelijk.
• Je hebt een basiskennis Nederlands.
• Je beschikt over een rijbewijs B om je te verplaatsen.

Interesse? Neem contact op met ons op dit nummer: 056 23 67 56 of mail je CV naar construct.owvl@randstad.be

Je bent verantwoordelijk voor:

• Het vervangen van CV-ketels in bestaande woningen.1
• De volledige plaatsing en aansluiting van verwarmings-, ventilatie- en sanitaire installaties.
• Het bewerken, snijden, zagen en leggen van leidingen en het monteren van diverse verbindingen.

Wij zoeken een gedreven en ervaren installateur Sanitair en/of HVAC voor werven in West- en Oost-Vlaanderen.

Randstad Construct: VG 819/BC

• Je hebt een relevante werkervaring in sanitaire en/of HVAC-installaties.
• Kennis van centrale verwarming is noodzakelijk.
• Je hebt een basiskennis Nederlands.
• Je beschikt over een rijbewijs B om je te verplaatsen.

Interesse? Neem contact op met ons op dit nummer: 056 23 67 56 of mail je CV naar construct.owvl@randstad.be

Je bent verantwoordelijk voor:

• Het vervangen van CV-ketels in bestaande woningen.1
• De volledige plaatsing en aansluiting van verwarmings-, ventilatie- en sanitaire installaties.
• Het bewerken, snijden, zagen en leggen van leidingen en het monteren van diverse verbindingen.

About the Company CHN Energy Europe Research GmbH (CHEER) is a subsidiary of CHN Energy Investment Group (China Energy) based in Berlin, Germany. Being an integral part of China Energy’s globalized research and development layout, CHEER features in integrated European-Chinese innovation culture and advanced technology, and operates business in new energy technology research and development with purposes of promoting and accelerating carbon neutrality and making its own contribution in alleviating global climate change. We are building teams to develop cutting-edge sustainable and affordable technologies to improve energy efficiency, protect the environment, and mitigate climate change. Our ability to excel depends on the integrity, knowledge, skill, imagination, passion, and teamwork of people like you. Currently we have openings for leading experts with a range of focus areas including energy, chemistry, and artificial intelligence. We offer competitive compensation packages and excellent benefits. Key Responsibilities: 1. Strategic Planning for Energy Storage: Lead the formulation of the company’s energy storage strategy by coordinating internal and external resources, including partner universities, government agencies, and industry stakeholders; build and manage teams for technology R&D, product development, and project execution. 2. Research and Development of Energy Storage Technologies: Conduct research and design of energy storage technologies based on the company’s strategic direction and project needs; propose new storage solutions and carry out technical validation. 3. Product Development and Improvement: Take charge of the R&D of energy storage products, including product design, prototyping, performance testing, and optimization, to continuously improve and innovate product offerings. 4. System Design and Integration: Participate in the design and integration of energy storage systems; integrate and optimize various storage technologies to ensure high efficiency and system reliability. 5. Testing and Data Analysis: Design and execute experimental plans; conduct testing of energy storage systems and analyze experimental data to support technical improvement and performance optimization of projects. Qualification Requirements: 1. Master’s degree or higher in a relevant field, such as Thermal Engineering, Power Engineering and Engineering Thermophysics, Energy and Power Engineering, New Energy Science and Engineering, Process Equipment and Control Engineering, Materials Science and Engineering (especially with a focus on energy storage materials), or a comparable discipline 2. Several years of relevant professional experience in energy storage R&D or a related field 3. Proven experience in energy storage research and development 4. Solid knowledge of battery materials, energy storage system design, performance testing, or related technical areas 5. Experience with technology-driven R&D work and strong analytical and problem-solving skills 6. Background in energy storage materials is a strong advantage 7. Knowledge of the European energy storage market and relevant technical standards is highly desirable 8. Very good English skills are required; German and/or Chinese is an advantage. We Offer - Competitive compensation and benefits: We offer an attractive compensation package based on the responsibilities of the role, the candidate’s qualifications, relevant professional experience, and overall fit. Additional benefits and supplementary payments may be granted in accordance with company policies and individual eligibility. - Excellent research environment: Sufficient research funding and access to advanced digital tools and innovative technologies. - Innovative workplace: Exciting and diverse tasks in an international R&D setting with a collaborative, open atmosphere. - Room for creativity: Freedom to contribute your own ideas and actively shape forward-looking solutions in sustainable energy, technology, and organizational development. - International collaboration: Interdisciplinary projects and partnerships with renowned academic and industry players across Europe, including opportunities for international exchange. - Career development: Tailored training programs, individual career pathways, and support for participation in professional events and conferences to foster both personal and professional growth. - Attractive working conditions: Depending on the nature of the role and company policies, we offer flexible working hours based on core working hours policy, and 28 working days of paid annual leave, supporting a healthy balance between professional responsibilities and personal life. - Modern central workplace: A centrally located office in Berlin with modern facilities and excellent connections to public transport. Application process: Please send your application documents by email to recruitment@chnenergyeurope.com Subject line: “[Position] – [Your Name]”. Your application should include: - CV (including information/listing of representative research projects for R&D positions) - University certificates / transcripts (if available) - Reference letters from previous employers (if available) By submitting your application, you consent to the processing of your data for the purpose of the recruitment process. All documents will be treated confidentially in accordance with GDPR. We retain applications for up to six months after completion of the recruitment process, unless you give explicit consent for longer storage. For questions regarding the position or the application process, please contact our Recruiting Team: recruitment@chnenergyeurope.com Ergänzende Informationen: Anforderungen an den Bewerber: Erweiterte Kenntnisse: Elektrische Energietechnik, Nachhaltige Energieversorgungskonzepte entwickeln Expertenkenntnisse: Elektrische Energiespeicher, Thermische Energiespeicher, Mechanische Energiespeicher Zwingend erforderlich: Elektrochemische Energiespeicher, Chemische Energiespeicher, Entwicklung, Forschung

Universität Hildesheim Stiftung des öffentlichen Rechts Job advertisement Reference number 2026/121 The following position is to be filled at the Institute of Computer Science, Information Systems and Machine Learning Lab (ISMLL) has a vacancy for a PhD Position in Machine Learning (m/f/d) (TV-L E 13, 100%) the position is full-time, can be filled immediately, and is initially offered for three years. The salary is according to TV-L E13 (roughly 57,000 EUR gross income per year). As a PhD student in our international ML research group you conduct research in ML guided by a postdoc and two professors, have the opportunity to cooperate with companies, small and large, as well as with academic partners on real-word ML problems, and are encouraged to assist in teaching ML courses in our renowned International Master‘s Program in Data Analytics to students from all over the world. The working language of our group is English. You will work in a beautiful town with UNESCO World Heritage Sites, located in the very center of Germany, just 30 km from Hanover and 1.5 hours. by high-speed train to Berlin Who we are: The Information Systemsand Machine Learning Lab (ISMLL) at the Institute of Computer Science of the University of Hildesheim is an international research group an machine learning, especially predictive modelling and probabilistic methods for complex data and complex decisions, with an excellent publication track record (NeurlPS, ICML, ICLR, AAAI, ACM KDD, ECML PKDD, etc.). Current research directions include time series forecasting, probabilistic machine learning, graph neural networks, recommender systems, and mathematical foundations of machine learning. ISMLL takes part in basic and applied research projects in various domains such as mobility, e-commerce, and technology­enhanced learning. See http://www.ismll.uni-hildesheim.de (http://www.ismll.uni-hildesheim.de) for more information. The Institute of Computer Science, of which ISMLL is part, has a streng focus on artificial intelligence, with three chairs working in this field. The University of Hildesheim is renowned for high-quality research and education. What we expect: We are looking for a gifted student who loves models, algorithms, and data, can hardly stop discussing them with others, likes to express their ideas in formulas and programs, and now wants to get to the bottom of a complex ML problem over the next three years. You should have a recent Master's degree in Computer Science, Mathematics, Statistics, Data Science, or a closely related area. A Master's thesis on an ML topic and ML-related courses in your Master's program will be an asset. You are expected to have strong analytic and programming skills, the ability to work independently, and strong interpersonal as weil as English language skills. As a family-friendly university, we offer a varied, interdisciplinary range of tasks, flexible working hours, regular further and advanced training and a special annual payment within the framework of TV-L. In joining the university, you will become part of a dynamic, committed and open-minded team. The University of Hildesheim has adopted a mission statement that places great importance on gender equality and diversity. The University of Hildesheim particularly wants to promote the professional equality of women and men. Therefore, it aims to increase the proportion of employees of the gender that is underrepresented in the respective area. In the case of equal qualification and suitability, applications from applicants with severe disabilities will be given preferential consideration. For university degrees obtained abroad, a certificate evaluation by the Central Office for Foreign Education (ZAB) is required as proof of equivalence before you are hired. Please apply for this in good time if necessary. You can find more information at https://zab.kmk.org/de/zeugnisbewertung (https://zab.kmk.org/de/zeugnisbewertung) . Until when and how to apply Please apply online using reference number 2026/121 at https://www.ismll.uni-hildesheim.de/apply/ (https://www.ismll.uni-hildesheim.de/apply/) , uploading your CV with your transcripts and a research statement. Please enclose a PDF of a technical text of yours, such as a first paper, your Master's thesis, or a seminar paper you wrote. You can submit your application online at any time; once we have found our new .PhD student, the application portal will be closed. We will store and process your personal data during the application process and delete it afterwards. For any further questions, please contact Prof. Dr. Dr. Lars Schmidt-Thieme (schmidt-thieme@ismll.uni-hildesheim.de (https://mailto:schmidt-thieme@ismll.uni-hildesheim.de) ) or Prof. Dr. Tom Hanika (tom.hanika@uni-hildesheim.de (tom.hanika@uni-hildesheim.de) ) via email.

About the Company CHN Energy Europe Research GmbH (CHEER) is a subsidiary of CHN Energy Investment Group (China Energy) based in Berlin, Germany. Being an integral part of China Energy’s globalized research and development layout, CHEER features in integrated European-Chinese innovation culture and advanced technology, and operates business in new energy technology research and development with purposes of promoting and accelerating carbon neutrality and making its own contribution in alleviating global climate change. Centered on the green development strategy and the strategy of innovation-driven scientific and technological development, CHEER is committed to building a world-class research institute with global competitiveness. We focus on six key R&D areas: diversified power conversion, advanced chemical engineering, hydrogen energy, artificial intelligence, energy storage, and new environmental protection technologies. We are building teams to develop cutting-edge sustainable and affordable technologies to improve energy efficiency, protect the environment, and mitigate climate change. Our ability to excel depends on the integrity, knowledge, skill, imagination, passion, and teamwork of people like you. Currently we have openings for leading experts with a range of focus areas including energy, chemistry, and artificial intelligence. We offer competitive compensation packages and excellent benefits. Key Responsibilities: 1. Lead the development of the AI-based “Scientific Brain” research platform, including the overall construction of AI systems; apply large language models (LLMs) to design and optimize model architectures, carry out model training, and deploy the integrated AI platform. 2. Utilize robotic technologies to perform high-throughput experiments for the rapid synthesis and screening of a vast array of material candidates, accelerating the discovery of high-performance materials. 3. Analyze experimental data from material characterization techniques; correlate material properties with catalytic performance to guide the optimization of catalyst formulations and synthesis methods, thereby enhancing reaction efficiency. 4. Apply AI-driven computational modeling techniques to predict catalyst behavior at the atomic level; simulate adsorption, activation, and reaction pathways of reactants, identify promising catalyst candidates, and guide experimental work toward the most effective design directions. 5. Continuously explore and apply new AI algorithms and techniques to optimize predictive models and improve catalyst development strategies, thereby accelerating the discovery and optimization of advanced catalysts. Qualification Requirements: 1. Master’s degree or higher in Computer Science, Artificial Intelligence, Software Engineering, Data Engineering, or a comparable technical field 2. Several years of relevant professional experience in AI system development, platform engineering, or a comparable field 3. Solid experience in developing AI systems or scalable platforms, with sound knowledge of distributed system architectures and large-scale data processing 4. Proficiency in Python, Java, or Go 5. Practical experience with common AI frameworks and infrastructure tools, such as TensorFlow, PyTorch, Kubernetes, and Docker 6. Good knowledge of SQL/NoSQL databases, cloud platforms (such as AWS or Azure), and containerized deployment technologies 7. Additional academic or professional background in Electrical Engineering, Energy Engineering, Materials Science, Chemistry, or Chemical Engineering is considered an asset 8. Knowledge of or experience in energy, energy storage, or low-carbon technology applications is highly desirable 9. Very good English skills are required; German and/or Chinese is an advantage. We Offer - Competitive compensation and benefits: We offer an attractive compensation package based on the responsibilities of the role, the candidate’s qualifications, relevant professional experience, and overall fit. Additional benefits and supplementary payments may be granted in accordance with company policies and individual eligibility. - Excellent research environment: Sufficient research funding and access to advanced digital tools and innovative technologies. - Innovative workplace: Exciting and diverse tasks in an international R&D setting with a collaborative, open atmosphere. - Room for creativity: Freedom to contribute your own ideas and actively shape forward-looking solutions in sustainable energy, technology, and organizational development. - International collaboration: Interdisciplinary projects and partnerships with renowned academic and industry players across Europe, including opportunities for international exchange. - Career development: Tailored training programs, individual career pathways, and support for participation in professional events and confe Application process: Please send your application documents by email to recruitment@chnenergyeurope.com Subject line: “[Position] – [Your Name]”. Your application should include: - CV (including information/listing of representative research projects for R&D positions) - University certificates / transcripts (if available) - Reference letters from previous employers (if available) By submitting your application, you consent to the processing of your data for the purpose of the recruitment process. All document will be treated confidentially in accordance with GDPR. We retain applications for up to six months after completion of the recruitment process, unless you give explicit consent for longer storage. For questions regarding the position or the application process, please contact our Recruiting Team: recruitment@chnenergyeurope.com Ergänzende Informationen: Anforderungen an den Bewerber: Grundkenntnisse: Erneuerbare Energien Erweiterte Kenntnisse: Datenbank SQL, Machine Learning Expertenkenntnisse: Programmiersprache Python Zwingend erforderlich: KI-Systeme