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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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. Experience in integrated modelling simulations would help. Experience in numerics: use of parallelised codes, programming (Fortran/C), use of analysis tools like Matlab or Python Website for additional job
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processing, as well as proven experience in Mueller polarimetry and optical system characterization. 2) Proficiency in numerical modeling approaches, combined with solid programming skills (Python, Matlab
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planetary geodynamics and habitability. Experience using piston cylinder and DAC presses, high-temperature and high-pressure experiments, numerical modeling, Zr isotopes, atomic-scale and micro-scale analyses
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such as Euclid poses many modeling challenges. The COLIBRI ERC aims precisely to develop new theoretical and numerical tools to overcome one of these challenges: baryon modeling. The CDD will have two
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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data from numerical geodynamo simulations, and to an intercomparison of the several candidate models in an application to the geomagnetic field as seen from satellite observations. These evaluations will
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in numerous collaborative academic and industrial projects producing impressive demonstrations. Its researchers publish their work in the best international journals (IEEE T-RO, IJCV, etc.) and