549 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" Fellowship positions in United States
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research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration
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, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration
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neurodevelopmental disabilities including Autism Spectrum Disorder (ASD; including use of ADOS-2). Prepares for individual patient/family contact. Performs psychological/neuropsychological assessment and/or treatment
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Fellows receive a $1,500–$2,400 stipend per week (depending on program, seniority, and remote/in-person status; equivalent UK/EU amounts) and work closely with LawAI staff at our Cambridge, UK office. We
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/Watabe-Uchida laboratory at Harvard University to study the neural mechanism of decision-making. We seek an individual from a various background with an interest in animal behavior, computation in
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regulation, and/or computational biology is required. Additional Qualifications Special Instructions Letters of recommendation are not required at the time of application; however, letters will be collected
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, and review of regulations. Research Project: The selected fellow will be guided by a team of ASPE scientists with expertise in data science, public health, informatics, and policy. This team
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. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the
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fellow to perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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into kinetic models and computation fluid dynamics-based fire behavior simulators. Ultimately, this new knowledge will guide the implementation of new characterizations of live fuels in fire behavior models and