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comprehensive, gendered taskscape narrative. Key tasks and responsibilities As a member of a larger team, the advertised PhD position is embedded within the ODYSSEIA programme, funded by an FWO ODYSSEUS Type I
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. The position is embedded in ongoing projects, primarily investigating feeding ecology, movement patterns, behaviour and ecological aspects of management measures. The activities aim at improving
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. The position is renewable for a second year. Review of applications will begin on March 15, 2022 and will continue until the position is filled. The position is embedded in the funded multi-national project
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. The position is renewable for a second year. Review of applications will begin on March 15, 2022 and will continue until the position is filled. The position is embedded in the funded multi-national project
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Description The University of Wuppertal (Germany) invites applications for a PhD position (Research Assistant) in the group of Prof. Peter Zaspel, starting March 1, 2026. The position is part of
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computational imaging, applied mathematics, and structural biology. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. Read more about
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Gottfried Wilhelm Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 1 month ago
for a fully funded PhD position within the DFG Priority Programme SPP2389 https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389 . International collaboration The PhD is embedded in a close
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD position is part of project embedded within the Marie
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for predictive modeling scenarios, causal modeling is also within the scope of the position. The position is embedded in the ten-year gravitation grant Stress in Action, funded through NWO (Dutch National Science
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through publications and presentations throughout the PhD. 6 Skills The candidate should hold a Master’s degree in electronic engineering, embedded systems, artificial intelligence, signal or image