202 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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not available for this position. KEY RESPONSIBILITIES: Develop and deliver innovative educational programs using technology and other effective teaching methods to support learning and behavior change
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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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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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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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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. 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
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of studies conducted, organize data, prepare data for computer input ,and record computer output. Offload data-intensive calculations such as RNA sequencing to the cloud using programs such as, AWS S3, AWS EC2
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molecule cellular accumulation and compiling a proteome-scale atlas of chemically tractable vulnerabilities. The project will accomplish this by 1) using high-throughput mass-spectrometry and machine