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for laboratory needs Academic supervision of junior staff and training of new personnel Requirements: PhD degree in materials engineering, physics, mechanics, or a related discipline Scientific experience
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, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
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