204 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" 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 | 32 minutes 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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University (AFMSU). Faculty covered by AFMSU may choose to pay membership dues. This is a condition of employment. Additional information can be found at AFMSU or by emailing AFSMU . Any position less than
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(AFMSU). Faculty covered by AFMSU may choose to pay membership dues. This is a condition of employment. Additional information can be found at AFMSU or by emailing AFSMU . Any position less than .5 FTE
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University (AFMSU). Faculty covered by AFMSU may choose to pay membership dues. This is a condition of employment. Additional information can be found at AFMSU or by emailing AFSMU . Any position less than
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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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, psychosis, anxiety, and ADHD using gene expression and phenotypic measures. Maintain detailed records of studies conducted, organize data, prepare data for computer input ,and record computer output. Offload