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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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and implement computational fluid dynamics (CFD) and fire dynamics models in OpenFOAM tool for battery thermal runaway and fire propagation. • Conduct numerical simulations to investigate
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research goals/ Job description: P4Health CoE is seeking a highly motivated Postdoctoral Researcher to conduct functional ultrasound (fUS) studies in rodent models within the framework of precision
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 18 days ago
endpoints—thereby supporting data-driven biosimilarity assessments and potentially enabling predictive modeling for clinical performance. Learning Objectives: Under the guidance of the mentor(s), you will 1
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applications Human-centric and sensing-enabled mechanical systems Strong background in computational modeling and analysis, including finite element analysis (FEA), multiphysics simulations, and data-driven
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circuit-level simulation, system modeling, and in-silicon hardware prototyping to evaluate approaches against performance metrics such as energy efficiency, inference accuracy and computational latency
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. The successful candidate will work closely with 3 other PhD Research Fellow in an interdisciplinary research consortium that will describe, model and manipulate the physical forces that cancer cells experience
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. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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the complexity further to effectively plan their movement and deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This
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have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition