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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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processes Benchmarking and validating models against domain-specific tasks such as retrieval, summarization, metadata extraction, and structured problem-solving Investigating advanced strategies for model
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, with access to various technologies and industry contacts, for which the CellNetworks Core Technology Platform serves as an umbrella structure. Heidelberg University invites applications
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development, software design, parallel computing, model building, computational chemistry, biomolecular structures. Techniques: GPU computing, image segmentation, molecular dynamics, scanning probe microscopy
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Job posting (PHY 03/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy starting 01.08.2025 for a Postdoctoral position in marine ecosystem modeling in
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Postdoc – Scientific lead of a joint research project in the field of Direct Air Capture and Storage
the subprojects, advance the scientific work and represent the project in exchanges with stakeholders from science, politics, industry and society. In these activities, you will be supported by a project
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 2 months ago
structures. Fields: Code development, Software design, Parallel computing, Model building, Computational chemistry, Biomolecular structures. Techniques: GPU computing, Image segmentation, Molecular dynamics
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processes that generate health inequalities it leverages linked family-based data, natural experimental designs, genetically-informed social epidemiological data, advanced dynamic modelling techniques, and a
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Postdoc (f/m/d) Research Data Management and Data Visualization / Completed university studies (P...
steps; storage and manage metadata in a structured way # Feed data from model simulation back to Edaphobase together with the relevant metadata and in the way Edaphobase expects them # Extend
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modeling, AI-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based