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-scale training of a foundational pelagic imaging model, which will be fine-tuned for species classification, trait extraction, and particulate organic carbon estimation. The model will allow to establish
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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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system model”. The research unit Marine Biogeochemical Modelling of the research division Marine Biogeochemistry is offering a position as a Postdoctoral researcher (m/f/d) in ocean and earth system
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a resilience performance modelling framework at the regional and European level. The place of employment is Hamburg. GERICS develops science-based prototype products and services in support to
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Junior research position or post-doctoral position (m/f/d)(Position number: 19-2025 Postdoc PREVENT) in the field of Weather Extremes and Climate Modelling, starting on 01.09.2025. The position is funded
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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considered. The ideal candidate will have a background in immunology, tissue biology or cellular metabolism. Experience in working with animal models, cell isolations from tissues (lung, intestine), human
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! PROJECT: The project entitled ‘Dynamic cues guiding postnatal germline development in marmoset‘ focuses on single-cell transcriptome analysis of germ cell development in a non-human primate model. In
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-layer and cloud processes in the air-mass transformations that follow moist intrusion events into the Arctic. Using large-eddy simulation models, you will set up and run case studies of observed air-mass
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neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be applied in close