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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations
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, Materials Science of related subject 2. PhD in Materials modelling, computational physics or related subject (either complete or close to completion) 3. Excellent skills in programming and data
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of in vitro cell models and in vivo animal models (viral/fungal) Knowledge of general pathophysiology and molecular biology Proficiency in data analysis Strong problem-solving and experimental design
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blot, CRISPR, etc.) Knowledge of in vitro cell models and in vivo animal models (viral/fungal) Knowledge of general pathophysiology and molecular biology Proficiency in data analysis Strong problem
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involve undertaking full time research in grid connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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: 278656689 Position: Postdoctoral Research Associate Description: The Department of Psychology at Princeton University invites applications for a Postdoctoral Research Associate. Applicants should have a PhD
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describing your interests in this position, relevant experiences related to this position, and your long term goals. Contact information for 3 references Stanford is an equal opportunity employer and all
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and reptiles. We focus on using a combination of decision analysis, quantitative modeling of empirical data, and predictive modeling and forecasting. Examples of projects that the postdoctoral
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study