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of numerical methods for solving nonlinear systems of partial differential equations (e.g., finite volume method, finite element method) Experience with open-source CFD software such as OpenFOAM, PFLOTRAN
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are expected to have a M.Sc. or equivalent in engineering, applied math, physics or similar and a solid background in mechanics and numerical methods. Programming skills (any language) are a plus. If
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 23 days ago
fundamental physical mechanisms using computer simulations and the methods of non-equilibrium statistical physics. The Research The PhD student will work under the supervision of Dr. Philip Bittihn within
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well as in use of numerical methods via collaboration with RICAM experts the opportunity to complete a high-quality dissertation within an excellent, collaborative, and transdisciplinary research environment a
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chemistry, or Applied Mathematics or Information Technology. Experience with numerical programming, machine learning or data analysis, preferably with Python. Solid background in technical mathematics
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receive intense training on formulating their research question. The courses introduce methods of law and economics research, such as econometrics, game theory, experimental economics, and behavioural law
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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workflow for the analysis of single-crystal diffuse scattering. In this project, you will have the opportunity to contribute towards reaching this challenging aim. Your tasks include: Deducing numerous
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context