1,711 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University College Dublin" positions in Germany
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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with the IfSG before starting employment (currently: measles). General information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en
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. Proof of English language skills for non-native speakers (official standardized tests, e.g. TOEFL iBT, min. 60 points) is required. Programme start: summer 2026. More information can be found here https
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dynamic and highly active research field KNOWLEDGE & DEVELOPMENT: Your professional development is important to us – we support you specifically and individually e.g., through training and networking
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
systems. Our lab is a vibrant interdisciplinary environment that combines fundamental methodological development with translational collaborations in biomedicine. To further strengthen project work
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-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development of the next-generation image analysis and
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. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and
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microscopy and traction force microcopy, as well as data analysis, development of theoretical models, and preparation of data for presentations and publications. We are looking for a motivated candidate, who
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. Empirical data will be used to support the development and parameterization of the agent-based model, enabling a more realistic representation of IAM travel behavior and its interaction with existing
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly