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Programme? Not funded by an EU programme Reference Number DR/059/24 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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21.06.2024, Wissenschaftliches Personal We are searching for two motivated researchers (postdocs) with a mathematics or informatics background. You will be working in the group of Prof. Felix
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Research Framework Programme? Not funded by an EU programme Reference Number DR/071/24 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and
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cognitive science and computational neuroscience to solve challenging scientific problems Strong mathematical and analytical skills Very good command of the English language For postdoctoral researchers: PhD
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conferences Publication of results in scientific journals Requirements: Master's Degree or PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 16 days ago
and presentation at conferences You should have PhD in fluid dynamics, physics, or applied mathematics with a strong computational background. Experience in development of MPI code and in running on big
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engineering or scientific studies in electrical engineering, physics, mathematics or a similar discipline First experiences in multiphysical FEM simulation (electrical, mechanical or acoustic), numerical design
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plant and mathematical modeling to determine the benefit of root phenotypes for stress tolerance. Report your work in scientific journals and oral presentations. Your qualifications and skills: You hold a
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The DFG-funded international Research Training Group GRK2662 "charging into the future: understanding the interaction of polyelectrolytes with biosystems" aims to gain a better understanding of the molecular interactions between polyelectrolytes such as DNA, proteins or heparin with complex...
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members Your profile Doctoral degree in Statistics, Mathematics, Data Science, Computer Science or a related field with a strong background in Statistics Hands-on experience in Statistical Modelling and/or