57 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" "Dr" PhD positions at Forschungszentrum Jülich in Germany
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coding in C++, supported by specialised training (e.g. C++ courses). Your Profile Master's degree in Mathematics, Computer Science, Physics or a related discipline Object-oriented programming skills
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: Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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and individually, for example through training opportunities and the structured JuDocS program for doctoral candidates: https://www.fz-juelich.de/en/judocs In addition to exciting tasks and a
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your results in manuscripts and presenting them at conferences Your Profile: Master’s degree in chemistry, biochemistry, pharmacology, medical chemistry, or related fields Strong practical skills in
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fluorescence methods, e.g., spectroscopy and microscopy Computational simulation of the molecular interactions within the liposomal membrane in cooperation with expert teams Summarizing your results in
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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publications and project reports Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or a related discipline Extensive knowledge
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Fluency in English Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete
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models of structural disorder based on the periodic average structure, crystal chemistry, and complementary information Generation of a dataset to train ML models Simulation of the corresponding