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Field
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To qualify for the rank of Research Associate: • PhD in Linguistics or related field To qualify for the rank of Postdoctoral Scholar: • PhD in Linguistics or related field The University of Oregon is proud
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pathogen identification service center that is being developed by the College of Veterinary Medicine and the College of Agriculture and Life Sciences at Virginia Tech. Required Qualifications ● PhD in
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The candidates must have received a PhD degree in computer science, computer engineering, data science, high energy physics, or a related discipline within five years of the start of the appointment Experience
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
is seeking a researcher with a track record in big data analysis and large language models. The applicant is expected to be a skilled, independent researcher, with experience in grant and paper writing
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students in laboratory methods, management of laboratory supplies and safety, preparation of scholarly publications and proposals. Individuals with expertise in organic synthesis and a PhD in relevant fields
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provide mentoring for undergraduate and graduate students working with the research group. Minimum Qualifications PhD in Environmental Science or another quantitative discipline. The selected candidate must
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their Behavioral Science for Policy Lab (BSPL). Individuals with a PhD and research interests in psychology, sociology, behavioral economics, management, or another social or behavioral science relevant to the study
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, under- and uninsured individuals. Based in Kansas City, the fellowship is sponsored by Simon Craddock Lee, PhD MPH, Chair of the Department of Population Health at the University of Kansas Medical Center
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specialization that is directly related to the type of work being performed. No experience is required. Additional Job Posting Information: The Dual Lab, under the supervision of Anny Castilla-Earls, PhD
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techniques, such as Large Language Models (LLMs) to large-scale datasets. Optimizes existing algorithms for efficiency and accuracy. Preprocesses and cleans raw data from various sources (e.g., sensors