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and automation of lab equipment using Labview or similar, TCAD simulation and physics-based modelling and cleanroom device processing. A willingness to work together with, and co-supervise, PhD students
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD
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the opportunity to work with state-of-the-art platforms, including patient-derived models (PDXs), 3D organoids/spheroids, advanced molecular assays, and multi-omics datasets. Looking for recent PhD graduates
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–based, web-enabled decision-support tool for farmers, using machine learning (random forest) predictive models. Working closely with the PhD student and PIs to ensure rigorous model development
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
) Carry-out additional simulations with the Phoreau model to test the effect of tree diversity on forests' resistance to droughts. ii) Analyse biodiversity-drought resistance relationships, across a
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9 Apr 2026 Job Information Organisation/Company IMEC Research Field Computer science Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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9 Apr 2026 Job Information Organisation/Company UNIVERSITE ANGERS Department Human Resources - Recruitment Research Field Mathematics Researcher Profile Recognised Researcher (R2) Positions PhD
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Diogo Arsénio on subjects including: Magnetohydrodynamics and the mathematical theory of plasmas. Collisional kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum
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will therefore be expected to be familiar with manipulating climate model output (e.g., netCDF data). About you The post holder will hold, or be close to completion of a relevant PhD/DPhil, together