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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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Fraunhofer Institute for Wind Energy Systems IWES | Bremerhaven, Bremen | Germany | about 1 month ago
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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evolve and stabilize during symbiont establishment. Model-based predictions will be further refined and experimentally tested, ensuring an iterative exchange between in silico and in vivo approaches. Key
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and odor perception and food-derived proteins. The project aims to make use of the structural information for structure-based ligand design projects in order to develop prediction methods to identify
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 27 minutes ago
events. Humans use simulations not only to predict outcomes, but also to evaluate counterfactual outcomes in hindsight. Indeed, counterfactual simulation, that is, simulating what could have happened, has
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 4 days ago
to develop prediction methods to identify new food ingredients and flavor modulators. Key Responsibilities AI-based methodologies for protein structure prediction and conformational ensamble Molecular
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systematic uncertainty quantification framework for remote sensing data for bridges. This will be the basis for Bayesian machine learning approachesto predict bridge deformations and manage uncertainty
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use of the structural information for structure-based ligand design projects in order to develop prediction methods to identify new food ingredients and flavor modulators. Key Responsibilities • AI
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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