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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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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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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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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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Intelligence (DFKI), invites applications for a postdoctoral research position. The group develops foundation models, large language models (LLMs), and agentic AI systems for scientific discovery, engineering
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Details Title Postdoctoral research fellows in generative, multimodal AI, and seismic foundational models School Faculty of Arts and Sciences Department/Area Earth and Planetary Sciences Position
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. You will perform cutting-edge research on theory and modeling of dynamics in condensed matters. Major Duties/Responsibilities: Development of theoretical framework for driven and open quantum systems
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of resistance to targeting therapies (antibodies, and antibody-drug conjugates) integrating clinical data, 3D cancer cell models, high-throughput approaches and co-culture systems. The successful candidate will
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In collaboration with Utrecht University, you will quantify fire dynamics and its impacts on vegetation and climate at regional scales, combining global vegetation models with state-of-the-art
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September 2026 Reference: 0611-26 An exciting opportunity exists for a post-doctoral researcher to undertake research into probabilistic volcanic ash dispersion modelling. The successful candidate will