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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) Development of Digital Twins (DT). The Development of DT for complex
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for a detailed analysis of the chemical composition of the air and the various factors that lead to changes in air quality. Tasks additionally include: Characterization of a high-precision multi-gas
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Some experience with numerical simulations such as the Finite Element Method (FEM) and Multi-Body Simulation (MBS) is a plus. We offer: a fascinating understanding at mobility in general with a
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Description The Chair of Transport Modelling and Simulation at TUD Dresden University of Technology is investigating models, algorithms and simulations to achieve an enhanced scientific
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well as Mobility Modeling and Simulation. Research topics range from conceptual issues of strategic planning to small-scale analyses of specific street spaces. The chair’s methodological focus is on the empirical
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qualification (usually PhD). Tasks: The successful candidate will work in a team developing metal-free magnetism in graphene-related materials and organic 2-dimentional crystals by means of theoretical materials
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, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied discipline. We are currently offering 2 DAAD GSSP scholarships and 2 doctoral
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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal Institute for Risk Assessment (BfRshort forGerman Federal Institute for Risk Assessment) Tasks As part...
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properties of individual molecules doped into state-of-the-art materials used in OLEDs. The project will apply single-molecule microscopy and spectroscopy techniques to obtain information about the degree
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers