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Field
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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The Computational Neuropsychology & Simulation (CNS ) Lab and Dr. Thomas D. Parsons, PhD invites applications for a postdoctoral fellow focused on research in social neuroscience, computer science
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/or Typhoon HIL and conduct real time simulation studies/experimentation. Design and develop an intelligent and optimal energy management system (EMS) controller for the optimal operation and
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
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students. Provide logistical support pertaining to laboratory operation for the project. Job Requirements: PhD degree in physics, mathematics, engineering or related field. Strong background in
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in-depth research and analyses for comprehensive and long-term energy policy planning and strategy development on domestic production of processed critical minerals (oxides, oxalates, salts, and metals
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interdisciplinary team will develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse
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. About the project/work tasks: The position is affiliated with the research group for Energy and Process Safety (EPT) and is funded by the Faculty of Science and Technology as part of the in-kind from
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graduates to people with relevant experience from industry. About the project/work tasks: The position is affiliated with the research group for Energy and Process Safety (EPT) and is funded by the Faculty
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linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process