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Field
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dramatic, we build towards a unified predictive model spanning the full cool star parameter space. Our goal is to couple these stellar environment models to time-dependent radiative-convective and
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on advancing Predictive, Preventive, Personalized, and Participatory (P4) approaches in health and medicine. Within the IRAP framework, the project’s scientific goal is to discover and validate novel therapeutic
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estimation to begin in Spring/Summer 2026. The successful applicant will develop and implement data-driven tools, underpinned by scientific machine learning and reduced-order modeling, for ocean state
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is to predict and reproduce the architecture of these exoplanetary systems and the exoplanet properties, including composition, thereby testing currently competing planet formation models against
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and increased uncertainty in life and non-life insurance modelling. data-driven prediction of insurance premiums and associated quantification of uncertainty. Qualifications and personal qualities
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position (100%, three years) is related to finance and insurance. The theme of the research project will lie within areas such as: simulation and risk modelling using advanced statistical and machine
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simulations of compact binaries (including, for example, binary black holes, binary neutron stars, and black hole–neutron star binaries). The broader goals are to generate accurate predictions for gravitational
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, is organised as a section at the Department of Geosciences. PHAB’s main goal is to develop predictive models to identify habitable planets around other stars. Within three different research themes: (1
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 18 days ago
drug transfer across the blood–milk barrier using advanced microphysiological systems (MPS) that model human mammary tissue. The selected participant will collaborate with an interdisciplinary team
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interdisciplinary initiative focused on advancing Predictive, Preventive, Personalized, and Participatory (P4) approaches in health and medicine. Within the IRAP framework, the project’s scientific goal is to