294 computer-science-intern "https:" "https:" "https:" "https:" "U.S" positions at DAAD in Germany
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? Master programme at a German university and, where appropriate, in conjunction with a non-university research Institution. Duration of the funding The scholarships for master studies have a maximum
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available in the further tabs (e.g. “Application requirements”). Programme Description Since 1997, the Heinrich Böll Foundation supports graduates from Latin America through its Sur-Place Programme in Mexico
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methods, e.g. µCT, XRD) Preparing and evaluating solution analyses using ICP MS/OES Publishing and presenting research results at national and international conferences Your Profile: Master's degree in
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, Process Engineering, Computational Science, or a related discipline Strong foundation in fluid mechanics, gas–liquid two-phase flows, numerical methods (FVM, FEM), and two-phase flow instrumentation
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international networks, DESY offers a highly attractive working environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. Within Dr
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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available in the further tabs (e.g. “Application requirements”). Programme Description The Heisenberg Programme sponsors outstanding researchers who are qualified for tenured professorship: they have the
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Description The Max Planck Institute for Multidisciplinary Sciences is a leading international research institute of exceptional scientific breadth. With more than 40 research groups and some
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties