68 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions at Forschungszentrum Jülich in Germany
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-based tools in water electrolysis research Collaboration with computer science, catalyst synthesis and characterization, and theory groups to optimize water electrolysis using the knowledge obtained in
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ideas and working closely with partners from physics, computer science, and social psychology Collaboration in the planning, implementation, and evaluation of crowd experiments Publication of research
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experiments Exchange and close cooperation with partners from physics, computer science, and social psychology Publication of research results in international journals Presentations at international
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in the ChemPRINT project. Research in the Sustainable Photovoltaics group focuses on the development of solar cells and modules with improved recyclability. Further information can be found at https
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working
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computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong interest in interdisciplinary research at the interface of natural
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techniques Writing and submitting computational proposals to obtain the computational resources required to accomplish the project Engage in the international simulation community Publishing the results
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candidates (JuDocS): https://go.fzj.de/JuDocs HEALTH & WELL-BEING: Your health is important to us. You can look forward to a comprehensive company health management programme with a wide range of options
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grades in the field of mechanical engineering, material science, physics, computational science or similar, with experience in modeling and simulation Strong understanding of the (computational) mechanics