171 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Forschungszentrum Jülich in Germany
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entropy or Kullback-Leibler divergence vs. measurement time Analysis and documentation of the results Your Profile: Excellent academic performance in a master’s program in electrical engineering, materials
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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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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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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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interoperability between Electronic Lab Notebooks and Research Object-Crates ( https://helmholtz-metadaten.de/de/inf-projects/elnro ). This will be achieved by creating a standardized metadata mapping framework and
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Your Job: Join the consortium research project LILLINT II, financed by the U.S. Department of Energy (DOE) and the Federal Ministry for Research, Technology and Space (BMFTR), of American and German
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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