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to contribute to a more sustainable and better world? We, Wageningen Food & Biobased Research (WFBR), are looking for a researcher data & modelling. Are you the one who will strengthen our team? What will you do
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
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of the MOST (Modelling and Simulation of Turbulence) team focus on the numerical prediction of turbulent and multiphase flows with a broad range of objectives from fundamental understanding of flow properties
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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cloud-based geospatial analysis. Spatial visualization, mapping applications, and predictive ecological modeling. Applicants must possess a valid U.S. driver's license (or obtain one within 60 days
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work closely with an interdisciplinary team spanning microbiology, engineering, and computation, and will contribute to developing predictive models that link bacterial physiology to infection outcome
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depth-explicit soil organic carbon model constrained by carbon isotopes to reduce equifinality. Biogeosciences, 22, 1427- 1446. https://doi.org/10.5194/bg-22-1427-2025 Website for additional job details
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict