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Field
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-prey contacts to understand decision making underlaying aggressive predatory biting. Using data-driven modelling, you will compare these dynamics to investigate prey choice and reward signalling. Your
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 2 hours ago
behavioural data of predator-prey contacts to understand decision making underlaying aggressive predatory biting. Using data-driven modelling, you will compare these dynamics to investigate prey choice and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 hour ago
on a project on fertility dynamics and patterns in high-income countries. The project will investigate recent fertility trends in high-income countries and how fertility dynamics are related to changes
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the lattice dynamics in perovskite systems. The candidate will employ fast time-resolved X-ray diffraction at synchrotron facilities to reveal the details of halide ion migration in lead-halide perovskties and
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to understand the lattice dynamics in perovskite systems. The candidate will employ fast time-resolved X-ray diffraction at synchrotron facilities to reveal the details of halide ion migration in lead-halide
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and the willingness to work in a team are expected. Our offer Work in a dynamic, international and interdisciplinary environment Close cooperation with computer scientists of the Research Group Data
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doctorate an inspiring and dynamic research environment with first-class laboratory facilities near Berlin and Potsdam a pleasant and appreciative working atmosphere flexible and family-friendly working time
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at the TZA Aachen https://tza-aachen.de and the Forschungszentrum Jülich The opportunity to gain your reputation in a dynamic and highly active research field Further development of your personal strengths
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and develops novel natural product-based anti-infectives. The research group Microbiome Dynamics (https://www.leibniz-hki.de/en/microbiome-dynamics.html ) invites talented and highly gifted candidates
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groups (e.g. Birds-of-Paradise) and characterize hybridization dynamics along altitudinal gradients. This research is embedded within the BirdMORE project and funded by the Leibniz Junior Research Group