411 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Stanford University
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reports to the Assistant Director of Administrative Learning & Development, Department Liaison. Stanford Law School, on the campus of one of the world's leading research universities, offers unmatched
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graduate students and their teaching and learning will also be substantial. The Stanford Center for Teaching and Learning (CTL) supports the university's core educational mission. We help faculty
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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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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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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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individuals who are passionate about science, learning, and collaboration. Candidates with a strong background in molecular and cellular biology, and/or experience in bioinformatics, will find this an ideal
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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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. Minimum Knowledge, Skills and Abilities Required: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Ability to work
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records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general