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PhD doctoral candidate (d/f/m) Predictive Tissue Medicine Specialty Pathology Apply now Work time part-time Start date Now Employment period limited Application deadline 18.12.2025 Deployment
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10 Oct 2025 Job Information Organisation/Company Fraunhofer Institute for Wind Energy Systems IWES Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 26 Oct 2025 - 23:59...
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Who we are ... At the Fraunhofer Institute for Wind Energy Systems IWES, the energy transition becomes a reality every day. Our focus topics are: offshore wind energy, hydrogen, test infrastructure and digitization. More than 400 employees – including around 100 students – from over 50 countries...
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diseases (VBD) in relation to climate change, such as West Nile fever, Dengue fever, and Tick-borne diseases. His group develops and uses approaches for multi driver predictions using statistics and machine
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diseases (VBD) in relation to climate change, such as West Nile fever, Dengue fever, and Tick-borne diseases. His group develops and uses approaches for multi driver predictions using statistics and machine
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systems, mainly plants. The BM^2 Lab is mainly computational and uses ad-hoc developed modeling tools such as MorphoMechanX to provide explanatory and predictive scenarios for developmental problems. We
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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risk prediction Analysis of primary and secondary data Preparation of reports and English-language publications Presentation of results at conferences Requirements: Completed degree in health sciences
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 1 day ago
prediction Analysis of primary and secondary data Preparation of reports and English-language publications Presentation of results at conferences The Leibniz Institute for Prevention Research and Epidemiology
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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders