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, Germany [map ] Subject Area: Mathematics Appl Deadline: 2025/10/31 11:59PM ** (posted 2025/09/15, listed until 2026/03/15) Position Description: Apply Position Description The Cluster of Excellence
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Institute of Botany and Landscape Ecology in the Faculty of Mathematics and Natural Sciences, there is a job vacancy in Prof. Dr. Juergen Kreyling’s “Experimental Plant Ecology” working group in
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of Mathematics and Natural Sciences, Department of Mathematics, Prof. Dr. Gavril Farkas, Unter den Linden 6, 10099 Berlin, Germany or preferred in electronic form to farkas@math.hu-berlin.de . Please visit our
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 1 day ago
Biology Dresden (CSBD) are basic research institutes that pursue a mission to advance multiscale biological discovery using interdisciplinary approaches including innovative, cutting-edge mathematics
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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY-ALGGEOM26 [#27311] Position Title: Position Type: Postdoctoral Position Location: Hannover, Lower Saxony 30167
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) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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Department is developing and applying electron microscopy methodologies for nanoscale and atomic-resolution characterization of soft functional materials and their interfaces using a synergy of materials
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mathematics or a related field. (Professional) Experience: Previous academic experience with information theory in basic or applied research. We are not looking for a data analyst of 'omics' data, but a
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technology that will make it possible to publish, combine, and preserve statistical models for physics experiments and beyond, and to make them usable across programming languages (C++, Python, and Julia