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of Empirical Innovation Economics. Participating in the structured doctoral program of the Munich Graduate School of Economics (MGSE) at LMU. Contributing to exciting and highly relevant policy projects
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Responsibilities: The successful applicant will cover research and teaching in the fields of biodiversity and conservation genomics at Freie Universität Berlin and co-direct the Berlin Center for Genomics in Biodiversity Research at the Leibniz Institute for Zoo and Wildlife Research...
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programme. Up to 17 short-term postdoctoral fellowships and up to 12 standard postdoctoral fellowships may be awarded per year. The Alexander von Humboldt Foundation aims to achieve a good balance between
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
by Wednesday 11 June 2025. Please see the advice on the Entry requirements for postgraduate research programmes . Please apply to the programme “PhD Geography (Science)” on the How to apply
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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Physics Theoretical Physics / Complex systems including applications to biology Complex Systems (more...) Computer Simulation Fluid Mechanics Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/22
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members in one of Europe’s largest interdisciplinary research centers and help us to shape change! The Faculty of Agricultural, Nutritional and Engineering Sciences of the Rheinische Friedrich-Wilhelms
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. Alexander Ecker (Institute of Computer Sciences, University of Göttingen). Candidate profile We are looking for a highly motivated candidate with: A strong background in animal behavior, behavioral ecology
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Description The Chair for Pharmaceutical and Medicinal Chemistry at the Institute for Pharmacy and Food Chemistry at JuliusMaximilians-Universität Würzburg (JMU), Germany, is inviting applications
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission