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part of a degree program. In particular, knowledge about finite-element analysis is an absolute must . Familiarity with iterative solvers , preconditioners , multigrid methods , and mixed-precision
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not
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machine and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme is intended for outstanding junior post-doctoral scientists from Germany, Austria and Switzerland from all
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available in the further tabs (e.g. “Application requirements”). Programme Description The Grant Programme of the Berlin House of Representatives awards funding to young researchers in any subject area from
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programming languages such as C++ or Java - Excellent command of English - Very good writing skills - High engagement, high motivation, pro-active communication skills, and high social skills - This position is
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of linear algebra and numerical optimization Understanding of statistical modeling and inverse problems is desirable Experience with programming languages like Python, MATLAB, or C++ Joy in dealing with
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international teams and have programming skills. In addition, you are able to express yourself confidently both orally and in writing in English. What we offer We offer a three-year contract with the possibility
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) methods. Experience in handling remote sensing data is a plus Very good programming skills (Python) Very good communication skills (oral and written) in English Ability to work in a highly interdisciplinary
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mobile working up to 80 per cent Remuneration according to the German Collective Agreement for the Public Sector (TVöD VKA) including a company pension plan with VBL A family friendly work environment