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Field
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on the Part Scale. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational
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numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary research questions. The successful candidate will also have the
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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary
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Lüneburg) and supported by Dr.‑Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and machine leaning models to extend their compatibility with problems from mechanical engineering
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mechanistic and clinical studies. To expand our activities, we are looking for a motivated PhD student to investigate mechanisms of disease and drug resistance in myeloid leukemia. Job-ID: V000014484 Field
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combine computer simulations and machine leaning models to extend their compatibility with problems from mechanical engineering and materials research that could not be addressed so far due to their high
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require major advances in electrolyte composition to achieve safer and more efficient performance. Such advances will be realized through an exploration of properties or mechanisms not exploited in
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mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon) a Masters or equivalent degree
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 11 days ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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Technology” department, we deal with the interconnection of crystalline silicon solar cells, their encapsulation in PV modules, detailed efficiency analysis, the simulation of thermo-mechanical reliability