16 computer-science-intern "https:" "https:" "https:" Postdoctoral positions at Forschungszentrum Jülich in Germany
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students You will collaborate closely with experimental and theoretical partners in computational materials science, battery research, and quantum software and hardware, forging connections within a dynamic
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, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in psychology, cognitive science or in a similar field of study Research experience in the areas of crowds
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and scientific articles the supervision of PhD and master students Your Profile: PhD in physics, computer science, mathematics or comparable fields Proven research experience in the area of quantum
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) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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relationships between structure, morphology, performance (reactivity, selectivity, efficiency), and degradation mechanisms under realistic deployment conditions Participation of beam times at international large
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International Advisory Service In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer: https://go.fzj.de/benefits We offer you an exciting and varied role in
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sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab). These collaborations enable
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sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal experiments group (You