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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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this highly collaborative role, your work will be responsible for developing multi-scale models, spanning from the atomistic to the meso-scale, and performing the simulations that will feed into the model
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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 compelling problems in energy and security. The Biosciences Division of ORNL has an opening for a postdoctoral researcher to integrate diverse research across the Center for Bioenergy Innovation’s (CBI, https
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., tracing multi-trophic interactions and habitat management using crop and flowering plant variety) and to collaborate with research and extension faculty members at the Dallas Center as well as TAMU
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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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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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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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, and advanced data analysis. This role is part of a large-scale, multi-institutional consortium study aimed at uncovering novel insights into the genetic and molecular underpinnings of neurodevelopmental
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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