208 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
position as Teaching Assistant Professor to teach in our undergraduate program, with appointment beginning July 1, 2026 . This is a nine-month position with the responsibility to teach six courses per
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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mediators using in vivo mouse models. The position has a duration of two years. The project group is part of a vibrant and inclusive research environment (https://www.ous-research.no/kt/) at the Department
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functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis (unless otherwise indicated) and will be maintained in pool for two
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and/or related functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis (unless otherwise indicated) and will be
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to provide non-tenurable level instruction and/or related functions. Instructors are needed to teach classes depending upon need and available funding. Applications are accepted on a continual basis (unless
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Lucille A. Carver College of Medicine is one of the nation’s top medical schools. It is ranked No. 44 in research in the 2024 U.S. News & World Report listing of “Best Graduate Schools,” and it is ranked
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Graduate Assistant is the umbrella term that encompasses all types of GA appointments. Graduate Assistants are employed by the University to teach, conduct research, or assist with administrative duties in
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. The project integrates synthetic organic chemistry, kinetic analysis, automation, and machine learning to establish next-generation mechanistic workflows for asymmetric organocatalysis. The project advances
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to acquire different kinds of images on large numbers of iPS cells in culture; machine learning algorithms and other image analysis strategies may be used to extract and test image features as predictors