94 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" in United States
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button at the top or bottom of the posting on https://jobs.illinois.edu and upload: · A cover letter that details suitability for and interest in the position · Curriculum vitae · Statement
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 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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RAP opportunity at National Institute of Standards and Technology NIST Cryptography Through the Lens of Quantum Information Science Location Information Technology Laboratory, Computer Security
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-SEA-2025-0197 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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nanotubes; Graphene; Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants Stipend Base Stipend Travel Allotment Supplementation $82,764.00 $3,000.00
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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