69 postdoctoral-position-in-molecular-dynamic-simulation PhD positions at Technical University of Munich in Germany
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: An interesting and challenging job in an international and dynamic team at TUM's Garching site Flexible working hours Individual opportunities for further training Employment in accordance with the collective wage
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13.02.2025, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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, studying health-related (mis-)information on social media and its impact on young adults. The position includes international research collaboration, methodological training, and a supportive work
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all over Germany join forces to integrate a thermodynamic description into the processes understanding of soil systems and gain insights into how energy and matter fluxes drive organic carbon dynamics
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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign
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15.01.2025, Wissenschaftliches Personal As part of a recently funded collaborative research project between Germany and Belgium, we offer two PhD positions. One position will be based
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(E13 TV-L, 100%, 3 years, starting July 2025) 07.04.2025, Wissenschaftliches Personal The Professorship of Political Economy (Prof. Dr. Timo Seidl) invites applications for a PhD position involving
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of drought mortality in mature temperate forest trees. The position (36 months, funded by the German Research Foundation) is embedded in a long-term drought study, the Kranzberg Forest Roof Project (KROOF
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Immunology headed by Prof. Christina Zielinski. We offer a multifaceted scientific project with excellent technical facilities, a place in a dynamic, committed team, as well as strong local, national and
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proteins from renewable feedstocks and waste streams. We aim to develop sustainable processes to convert these materials into high-performance fibers and functional materials. By manipulating molecular