445 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Stanford University
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theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer
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complete the Stanford application process and submit their CV and letter of interest thru the Stanford Careers website - https://careersearch.stanford.edu/ referencing job number: 108273. The expected pay
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Appointment Term: 2 years Appointment Start Date: July 1, 2026 Group or Departmental Website: https://ed.stanford.edu/faculty/ksadow (link is external) How to Submit Application Materials: Fill out
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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
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Appointment Term: Initially 1 year, renewable Appointment Start Date: Start date is negotiable. Group or Departmental Website: https://www.huttenhainlab.com/ (link is external) How to Submit Application
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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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Job Title: Academic Program Professional 2 Working Title: Director of Community Engaged Learning – Health VPUE Unit: Haas Center for Public Service Location: Stanford Main Campus; Hybrid option
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minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at
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patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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preferred. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a