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theoretical prediction. Develop a new understanding of the fundamental flow physics through theoretical and/or numerical work. Develop independence and be self-driven to advance with their research project
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. The aim is to develop and analyze advanced models that integrate heterogeneous maritime data sources - such as AIS, metocean, emissions, port, cargo, and business data - to improve predictions of costs
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Organization U.S. Department of Defense (DOD) Reference Code AFIT-2026-0010 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Air Force
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 11 hours ago
on clinical data for device performance evaluation, durability issues in implants, and insufficient tools for predicting clinical outcomes. To fill these gaps, the program develops in vitro, in vivo, and
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requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University of Oslo, Department of Mathematics PhD programme
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, starting date, and project-specific qualification requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 11 hours ago
regulatory science, providing industry with predictable, consistent, transparent, and efficient regulatory pathways, and assuring consumer confidence in devices marketed in the U.S. Research Project: CDRH’s