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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 6 days ago
. Previous experience collecting behavioral data on primates or social animals in natural settings. Background knowledge on animal behavior and statistical analysis. Experience with the scripting program
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to the table Enrolled in a Bachelor’s or Master’s program in computer science, data science, or related field Proficient in Python with an understanding of modern ML workflows Interest in applied machine
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). The institute also maintains locations in Dedelow and Paulinenaue. The Research Platform “Data Analysis and Simulation” at ZALF, within the Working Group “Multi-Scale Modelling,” invites applications for a highly
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07.08.2025, Wissenschaftliches Personal The Chair of Strategic and International Management, headed by Univ.-Prof. Dr. Thomas Hutzschenreuter, invites applications as Doctoral Research Associate (m
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be preferentially considered unless these are outweighed by reasons which necessitate the selection of another candidate. Applications include: a cover letter CV list of publications research plan
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applications for a Full Professorship (W3) in “Multimodal Imaging” (f/m/d) to be filled at the earliest possible date. We are searching for a researcher with an internationally visible, original research program
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the use of and scientific application programming for supercomputers Knowledge in GPU-based programming and modelling of scientific simulations are desirable Programming experience in C, C++, or Fortran is
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, and research-based public and educational work. Over the next ten years, the Museum für Naturkunde will realise its plan for the future. New laboratories and jobs for cutting-edge research will be
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, together with our partners from industry and academia. The focus is on research and development for applications in the automotive, robotics, and security sectors. Major activities are underway worldwide
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(e.g. FRS, RIPS). Solid programming skills for analysis and simulation (C++, Python, ROOT, GEANT4, NPTool). Familiarity with experimental data analysis techniques including PID methods, and angular