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, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or Python is
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world or simulation- strong mathematical background (eg courses in Lineare Algebra / Analysis)- experience with deep learning frameworks such as PyTorch and Tensorflow- experience in writing papers
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an ambitious, international, open science-oriented community. Your qualities You have recently completed – or will soon complete – an MSc degree in atmospheric science, physics, mathematics, engineering, or a
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– an MSc degree in atmospheric science, physics, mathematics, engineering, or a related field; you are interested in clouds and climate change; you like coding, performing numerical experiments and handling
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combine wet- and drylab approaches aiming to identify key regulatory genes and metabolites for optimized plant defence production. As a PhD student you will be involved in the mathematical modeling