165 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Forschungszentrum Jülich
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, machine learning, energy technology or related subjects Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression Experience in
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Your Job: The Jülich campus hosts a vibrant electron microscopy, biophysics and structural biology community. We are seeking to recruit a team leader to head the new life science electron microscopy
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support and mentoring for building a career in academia or industry Professional development through JuDocS, including training courses, networking, and structured continuing education ( https://www.fz
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, e.g. through our International Advisory Service Exploration and preparation of next career opportunities supported by our Career Center & Postdoc Office ( https://www.fz-juelich.de/careercenter ) We
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experiments. Close collaboration with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: The electrocatalytic interface engineering department, led by Prof. Dr.-Ing. Simon Thiele focuses on the manufacturing
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alongside work Further development of your personal strengths, e.g. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically
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good written and spoken English Structured scientific approach and enjoyment of independently developing models and research methods Our Offer: We work on the very latest issues that impact our society