1,060 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions in Germany
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and Innovation Action projects such as "New Copernicus Capability for Trophic Ocean Networks (NECCTON)" aiming to develop new ocean modelling products to predict and protect the biodiversity of marine
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occur, and how can the overloading of individual regions be counteracted? Your contribution to scientific analysis: Further develop existing energy system models in Python to accurately map and analyze
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The applicant will work in the frame of the EU Research and Innovation Action projects such as "New Copernicus Capability for Trophic Ocean Networks (NECCTON)" aiming to develop new ocean modelling
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backgrounds, perspectives and experiences of staff, students and stakeholders help to achieve excellence and develop talent. The Nuremberg Metropolitan Region is one of the most innovative regions in the EU. It
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and develops novel natural product-based antiinfectives. We are inviting talented and highly motivated candidates to apply as Microbiologist (m/f/div) for the joint management of the Leibniz-HKI’s
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(Lightfoot) groups. Using a comparative approach, we aim to understand how evolution has adapted existing behaviors and invented novel ones through alterations of the underlying neuronal circuits. Based on our
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 3 months ago
Information Flow (Scholz) and Genetics of Behavior (Lightfoot) groups. Using a comparative approach, we aim to understand how evolution has adapted existing behaviors and invented novel ones through alterations
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Description of the offer : PTB is developing an internationally unique reference measurement setup for metrologically traceably characterizing the magnetization of magnetic nanoparticles
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or diploma in physics, biophysics, applied mathematics, chemistry, or a relevant engineering discipline Strong motivation to study motility of microswimmers and develop computational models Good programming
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer