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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-PWA-2025-0071 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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on applying multiple quantitative approaches consistent with intersectionality theories to study social inequalities in youth population mental health. Throughout the project, existing data from multiple cohort
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relevant theoretical and critical perspectives (e.g. actor-network theory, assemblages, processual ontologies, regulation and governance). This project benefits from proximity to Prof Tomczak's international
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in control theory, and/or optimisation and a strong interest in power systems Demonstrated ability to conduct independent research and publish in high-quality venues. Level B applicants will have: A
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development, calibration, and coding of a constitutive model to reflect uncemented carbonate sand behaviour, including cyclic loading and particle breakage effects, for use in numerical modelling. Collaborate
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to be studied, the choice of scientific theory and method, and the proposed implementation plan for the study The applicant’s experience, personal suitability and motivation for the post, including her
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Candidate We seek an ambitious researcher with a strong foundation in Bayesian theory, machine learning, and mathematical modelling. You should be confident in software development and capable of passing a
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geotechnics, at the forefront of research in offshore renewables. About the opportunity Lead the development, calibration, and coding of a constitutive model to reflect uncemented carbonate sand behaviour
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project to reveal the interaction of galaxies and their cosmic web environment with hydrodynamic simulations based on our new SWIFT code and COLIBRE, a novel state-of-the-art galaxy formation model. You
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to work creatively and independently, and a strong research background. We seek a highly motivated individual with: Expert knowledge of subject area is required: Population genetics theory and practice