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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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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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that has a quantitative focus, including but not limited to operations research, business analytics, data analytics, mathematics, and related disciplines Expertise in stochastic programming or robust
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 9 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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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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of Physics, Mathematics, and Biology of the University, and non-university research institutions in Göttingen, such as the German Primate Center and the Max Planck Institutes for Multidisciplinary Sciences and
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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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natural sciences (diploma or master of science in physics, geophysics, environmental physics, meteorology, mathematics or computer science) with an average grade better than or equal to 2.0 in the German
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and 5) development of medical devices. The EKFZ relies on a close interdisciplinary collaboration between the University Medical Center Göttingen, the faculties of Physics, Mathematics, and Biology of
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imaging, rhizotrons, and microscopy. Plant and root physiological measurements to determine the function of (interacting) root phenotypes. Functional-structural plant and mathematical modeling to determine