103 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Stanford University in United States
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with
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and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been
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, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with
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Centers: Genetics Postdoc Appointment Term: Initial 2 years then reappointment possible Appointment Start Date: Immediate Group or Departmental Website: https://med.stanford.edu/rabinovitchbland (link is
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, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with
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, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines with
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standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and
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: Postdoc positions renew yearly with an ideal total duration of 3 to 5 years. Appointment Start Date: Flexible (January-September 2026) Group or Departmental Website: http://hernandez-nunez-lab.com (link is
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one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases