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over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms and validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed
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Description of the workplace Lund University, Department of Energy Sciences is a leading center for research in energy, fluid mechanics, and sustainability. The Division of Fluid Mechanics within
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at the University of Oxford. This role presents an exciting opportunity to contribute to the CAREFOL Offspring Study funded by the British Heart Foundation. The study follows up children of mothers who took part in
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models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your job This position is embedded in a multi-institutional EU-funded project Intergenerational Open
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job This position is embedded in a multi-institutional EU-funded project Intergenerational Open Geospatial Carbon Registry external link (OGCR). The project is aimed at quantifying and mapping carbon
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research
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the goal to enhance predictive capability and scalability of multi-scale and multi-physics simulation codes. The prospective postdoctoral appointee will perform multi-physics and multi-scale CFD simulations
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to the psychology of cardiovascular diseases. The ECU Cardiac Psychology Lab at the East Carolina Heart Institute has a wide range of studies focusing on the evaluation of cardiac technologies and procedures. Duties
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Cornell Medicine, is seeking highly motivated postdoctoral associates. The candidate will have the opportunity to train in a stimulating and multi-disciplinary environment employing chemical biology