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Field
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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understood, and the identification of targets of early intervention presents a great challenge. To address this critical knowledge gap, PREVENT, a large-scale population study carried out by Trinity College
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with teaching responsibilities of up to two quarters of behavioral science classes each academic year. Uses subject matter and best practices knowledge to perform lab and/or research-related duties and
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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related field (not typically required to have a four-year degree). Work Experience: Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job
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research project and/or group. Plans and delivers technical workshops for faculty, PhD students, and research professionals. Uses subject matter and best practices knowledge to perform lab and/or research
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locations, 7,700 staff members, 2,500 PhD candidates, and over 13,000 students, Wageningen University & Research is among the world’s leading knowledge institutions in its domain. The integral approach
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. Position Requirements: Required Knowledge, Skills, and Abilities: • A Ph.D. with a broad knowledge of electric power systems. • A strong background in artificial intelligence (AI)/machine learning (ML
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. At Earth Systems and Global Change, our research and teaching revolves around comprehensive integration. We generate knowledge across these systems, employing innovative systems analysis tools and
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. Additionally you will contribute to the education of BSc and MSc students from different knowledge institutions working with you on the project. You also possess: A successfully completed MSc degree in plant