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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) we are currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d – 75 %) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded...
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and urban planning, engineering, data science, computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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state of Rhineland-Palatinate. Our research focuses on the biology of the cell nucleus and ranges from the molecular level to systems and computational approaches. Researchers at IMB are supported by
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state of Rhineland-Palatinate. Our research focuses on the biology of the cell nucleus and ranges from the molecular level to systems and computational approaches. Researchers at IMB are supported by
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Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in
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university of applied sciences, college of art or music or at the Baden-Württemberg Cooperative State University (DHBW). With the programme the state of Baden-Württemberg strives to increase the percentage of
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available in the further tabs (e.g. “Application requirements”). Programme Description The Indo-German Science & Technology Centre (IGSTC), established as a joint initiative of the Department of Science and
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to mastering the great challenges facing society today. At the Helmholtz Institute Freiberg for Resource Technology (HIF), innovative technologies for the circulareconomy are developed to provide and use mineral
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) networks. Hydrology and Earth System Sciences, 22(11), 6005-6022. (2018). [2]. Chen, R. T., Rubanova, Y., Bettencourt, J., & Duvenaud, D. K. Neural ordinary differential equations. Advances in Neural