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degree in mathematics or a related discipline Knowledge of solid mechanics, partial differential equations, asymptotic methods, numerical methods, and/or homogenisation are strongly desired Capacity and
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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“ Are you interested in the sustainable use of natural resources and would you like to research and develop new, efficient recycling methods as part of your scientific career? Then the Research Training Group
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10.08.2021, Academic staff Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification - PhD student in