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Field
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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modelling, combining ecological theory with modern, reproducible approaches to understand and predict biodiversity change. Based in Potsdam, Germany, immediately southwest of Berlin, the position offers
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. Furthermore, the team will develop predictive tools to anticipate the impact of global events on supply chains and logistics. Working in collaboration with the research team, the Postdoctoral Associate’s
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, and traceability in accordance with the GDPR and the EU AI Act. Integrate predictive virtual biopsy models in distributed environments. Lead pilot experiments and monitor the convergence of federated
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
investigations of meteorites as well as numerical modeling onstate-of-the-art supercomputers. The Department Solar & Stellar Interiors at MPS invites applications for the position of a Postdoctoral Researcher (f/m
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
scales, constraining uncertainties in Earth System Models (ESMs). Airborne Campaign Planning & Predictive Mapping: Conducting spatial scoping, observational gap analyses, predictive mapping of canopy
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. The programme uses large-scale real-world datasets to investigate metabolic dysfunction in type 1 diabetes and its relationship with clinical outcomes, and to develop and validate prediction models that support
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cognitive operations in existing data, label these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025
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, ligand GaMD). ● Experience building and interpreting Markov State Models or comparable approaches for identifying metastable states and conformational transitions. ● Proficiency in Python and
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are uncertain, and decisions about where to survey unfold sequentially under significant time and cost constraints. Existing predictive models provide useful but incomplete support because they cannot fully