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certain type of treatment, with potential impact in clinical practice and cancer research. This position is linked to the project BIOEURECA:Next-gen biomarker discovery: foundation models for tissue spatial
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the CARNOT HyLBM project, which aims to develop advanced numerical models for hydrogen storage in nanostructured metal hydride reactors. The researcher will contribute to the development of advanced
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methods to enhance our suite of metabolic modeling tools, including, but not limited to, the calculation, comparison, sampling, and visualization of fluxes. He or she will use these tools to integrate and
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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If you enjoy turning complex dynamic systems into clear models and want your research to actually change how trucks can be developed into more sustainable actors in the transport system
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Researcher in Sectoral and Integrated Modelling of Climate, Resources and Economic Policy. The appointment will be 1,5 years with the possibility of extension. Salary is in accordance with the German State
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: develop physics-informed and physics-grounded world models that remain reliable under partial observation, where pure physics engines fall short; design methods that achieve large speed-ups in complex
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Experience in working with large geospatial datasets (e.g., ERA5, CMIP6, Sentinel, MODIS) Working with complex models and high performance computing, ideally dynamic global vegetation models (DGVMs
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-driven atomistic modeling and AI-accelerated cheminformatics to join the Otaniemi Center for Atomic-scale Materials Modeling (OCAMM), hosted by the Department of Chemistry and Materials Science (CMAT
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Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems Experience in analyzing data from scattering experiments Work with others to maintain a