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experimental scientists and other mathematicians to develop the tools to analyse this data and come up with measure of both information capacity and information content of brain wiring. Requirements: PhD in
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together with simulation and data science and practical relevance A master`s degree or diploma and subsequent PhD in biophysics, biology, biochemistry, or other relevant discipline Excellent written and
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: Strong motivation for an interdisciplinary project that combines physics and biology together with simulation and data science and practical relevance A master`s degree or diploma and subsequent PhD in
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PROFILE: Experimental physicist or chemist or equivalent background with a completed PhD degree Very good knowledge in the field of laser spectroscopy for the sensitive detection of atoms and molecules in
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
offers, free membership in UKBfit • Employer benefits: preferential offers for employees (corporate benefits) Requirements: • A PhD in Bioinformatics, Computational Biology, Systems Biology, or a related
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a doctoral degree (PhD) for a postdoctoral position curiosity, high self-motivation, enthusiasm to develop your research project You work independently and as part of an international team, have
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15.06.2020, Wissenschaftliches Personal The 3D Understanding Group at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
within an interdisciplinary and international team, as well as with external partners. PhD in neuroscience, biology, or a related discipline Solid experience in animal research, including rodent models and
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its role in hematopoiesis over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles and mechanisms
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quite heavily. We establish new results concerning the analysis of stochastically driven anisotropic fluids, design novel numerical simulation and optimal control schemes, and provide new means for risk