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Field
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use of magnetometric methods and static and dynamic domain imaging techniques. The qualification position has a teaching obligation of 4 weekly lecture hours, for example by lecturing, exercises
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experimental teams to integrate transcriptomic and imaging data with computational models and actively contribute to experimental design. Contribute to publications in high-impact journals and present findings
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Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly motivated PhD students
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11.04.2025, Academic staff The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of automatic formal
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
for Functional Marine Biodiversity (HIFMB). You will combine state-of-the-art OMICS approaches, cell biology, and advanced imaging to dissect the cellular signaling and regulatory networks that control
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 6 days ago
candidate. Job requirements Essential PhD in ecology and evolution, animal behavior, collective behavior, or a related field Fundamental interest in biological phenomena and an open-minded approach
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
The Jena School for Microbial Communication (JSMC) is an ambitious Graduate School with over 130 doctoral and postdoctoral scientists. We offer structured, interdisciplinary PhD and career training
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Requirements: MSc in biology or earth sciences PhD in marine sciences or geology Desirable: experience in keeping aquarium cultures, ideally foraminifera Experience in imaging techniques (SEM, LM
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 29 days ago
measurements. Implement physics-informed machine learning models to predict mechanical properties from cell morphology. Collaborate closely with experimental teams to integrate transcriptomic and imaging data
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related