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learning as well as a strong background in scientific programming (in languages like Julia, Python, Fortran or C/C++). The applicant must hold a PhD in physical oceanography, atmospheric sciences, computer
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using wearable electroencephalogram (EEG) during sleep. Our goal is to pioneer developments in wearable technology that integrate reinforcement learning to discover novel strategies for human interaction
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at FTPI in quantum many body systems, including superconductivity and correlated electron systems. The position is needed to accelerate the projects. Qualifications Required PhD in Physics by beginning date
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responses are pedagogically valid, contextually appropriate, and consistent with collaborative learning theory. Scaffolding mechanism design. In close collaboration with the PhD candidate and educational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly
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sediment management. This will be done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops will be organized
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Work Location Lexington, KY Salary Range $28.00 - $35.00 Type of Position Temporary Position Time Status Full-Time Required Education PhD in Neuroscience or related discipline. Required Related
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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, optomechanics/nanomechanics. You have or are about to obtain a PhD in at least one of the following areas: nano-mechanics/nanoelectromechancics, OR multi-physics modelling (numerical simulations, e.g. matlab
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requirements For this postdoctoral role, we are looking for someone with a demonstrated background in SAR processing, SAR applications in agriculture and machine learning: A PhD in Earth Observation, Geodesy