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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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, letter of motivation, copy of graduation certificates (university), (all in one single pdf!) including the reference code “FB Ergo 01/26” until the 28.02.2026 preferably by mail to bewerbung@ifado.de. (*We
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: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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particle lifetime. You will combine experiments and simulations (CFD-DEM, population balance modeling) to study breakage behavior, supported by mechanical testing and in-situ micro-computed tomography (µCT
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Limitation:Temporary (3 years) Contract:TV-L Your Tasks Develop and apply mathematical models (including microsimulation, agent-based, state-transition models) to simulate tools and interventions used before, during and
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) are required - Experience in working with Earth system model simulations is required - Experience in machine learning is required - Willingness to travel for work (project meetings, workshops, and research
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for multi-band and multi-perspective sensing in ISAC systems Analyze system performance using analytical modeling and simulation-based evaluations Contribute to collaborative research projects and document
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future of the C4 grasslands of the world”. We will develop a novel approach for simulating C4 grasslands in interaction with C3 grasslands and trees based on Eco-Evolutionary Optimality (EEO) within
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one of them, please resubmit your application for each of the openings separately. Key responsibilities: analyse and interpret global ocean biogeochemical output of Earth system model simulations