424 computer-science-intern "https:" "https:" "https:" "https:" "P" research jobs in Germany
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The Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP) belongs to the „Forschungsverbund Berlin e. V. (FVB)“. The FVB is an institution of seven natural sciences research institutes in
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available in the further tabs (e.g. “Application requirements”). Programme Description The International Climate Protection Fellowship supports prospective leaders working academically or practically in
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: Postdoctoral Position Location: Munich, Bavaria 80333, Germany Subject Area: Quantum Information Science Appl Deadline: (posted 2026/03/07 05:00 AM UnitedKingdomTime, listed until 2026/09/08 04:59 AM
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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)computer science, (bio)physics, mathematics, engineering or similar degree from STEM - advanced programming skills in Python - experience with ODE modeling, in pharmacokinetics, ADME, pharmacology
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available in the further tabs (e.g. “Application requirements”). Programme Description The Hannah Arendt Fellowships offer outstanding international scholars the opportunity to pursue independent research
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presentations Participate actively in team meetings and research discussions. Your qualifications Currently enrolled in Computer Science, Data Science, Mathematics, or a related field Basic knowledge in machine
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of cancer research and are located in Heidelberg/Mannheim, Dresden, Mainz and Würzburg. Available cancer research areas include: Biochemistry Bioinformatics and Computational Biology Cancer biomarkers and
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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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