112 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Forschungszentrum Jülich in Germany
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information technology study background with high interest in technical applications (computer science, computational linguistics) Experience in LCA Fluent written and spoken English Our Offer: We work on the very latest
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research centers in Europe Excellent technical infrastructure – ideal conditions for extensive system analyses, including institute’s own cluster computer and access to the HPC at the FZJ Opportunity
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the project to tackle the next step (e.g. optimisation) as your research question. You will independently plan, conduct, evaluate, and present your experiments. You can rely on an introduction to the lab and
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of a VIP+ validation project Synthesis of the new polymers and evaluation for application in fuel cells and electrolysis Patent and market research and preparation of a business plan Preparation of a
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technical infrastructure – ideal conditions for extensive system analyses, including institute’s own cluster computer and access to the HPC at the FZJ Opportunity to participate at international conferences
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studies with above-average grades in Chemical Engineering, Energy- or Process Systems Engineering, Mechanical Engineering, Computational Engineering Sciences, Simulation Sciences, or similar have gained
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Your Job: Synthesis of heterogeneous catalysts (Ni on Al2O3) and characterization involving e.g. TGA, IR, TEM, MS, BET Implementation of a reaction chamber for catalytic measurements into a laboratory PDF diffractometer, including the optimization of measurement protocols and combined mass...
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data
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, construction engineering) or information technology study background with high interest in technical applications (computer science, computational linguistics) Good knowledge of Python Experience in NLP and in