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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 6 days ago
of string theory motivated gravity models or the mathematics research groups. Medicine and Health Sciences: Members of this PhD study programme are integrated in the different research fields
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with high-dimensional, often noisy, data sets; and mathematical modelling approaches that reduce the dimensionality of parameter spaces and produce mechanistically realistic, experimentally testable
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programme. Examples include stem and germ cells, biostatistics, developmental cell biology, neurosciences, and modelling and simulation of biological systems. In addition, PhD students at the DIGS-ILS have
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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics
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and motivated theoretical biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data
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algorithms model major sources of experimental error for control theory or co-design methods Previous works can be found under the bibliographies of Dr. Felix Motzoi and and Dr. Matthias Müller: https
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27.03.2025, Wissenschaftliches Personal The Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biophysical approaches and the generation of mathematical models to the development of new
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, Mathematical modelling, Biology, Environmental Science, Physical Geography, or related fields. • Specific research in agricultural-environmental disciplines, and particularly with respect to livestock