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English Languages Courses are held in English (100%). Full-time / part-time full-time Mode of study Fully on-site with voluntary online elements Programme duration 9 semesters or more Beginning Only for
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complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
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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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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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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 17 hours ago
this, IMPRS CoNI offers high performance computing facilities for computational modelling and data analysis. The modules covered ensure a structured and comprehensive approach and provide the important basic
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Degree Dr rer nat (Doctor rerum naturalium) PhD (Doctor of Philosophy) Course location Ulm Teaching language English Languages Our international PhD programme is only offered in English. Programme
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of the synthetic peptide in chronic and acute heart failure animal models. The therapeutic peptide is derived from the protein S100A1, which plays a central role in maintaining normal heart function. The synthetic
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well as sustainability. Its study model with Leuphana College, the Leuphana Graduate School and the Leuphana Professional School has won numerous awards. For the Institute of Management, Accounting & Finance (IMAF
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against cardiac diseases. It is based on extensive preliminary work by our working group, which has demonstrated therapeutic effects of the synthetic peptide in chronic and acute heart failure animal models
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning