93 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Stanford University
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therapeutics. We are seeking a highly motivated, collaborative, and independent Postdoctoral Researcher to spearhead a research program within the general areas of protein biochemistry, engineering, and
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availability, and internal equity. Pay Range: $80,826 to $90,826 per annum The epidemiology of ultrafine particles emitted from gas appliances The Stanford Electrification for Health program, based
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internal equity. Pay Range: 76,383-86,383 Our lab investigates the functional principles, development, and computational properties of organism-wide circuits for brain-body interactions. We
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or related techniques, and/or (3) computational biology are encouraged to apply. Lab overview: The communication between cells and their environment depends on decoding of extracellular cues into intracellular
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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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Appointment Term: 1 year Appointment Start Date: TBD Group or Departmental Website: https://yangresearchlab.stanford.edu/ (link is external) https://med.stanford.edu/microimmuno.html (link is external) https
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: 1 year Appointment Start Date: ASAP Group or Departmental Website: https://ferraralab.stanford.edu/ (link is external) How to Submit Application Materials: Please submit to Kathryn Andrews
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PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data engineering, and
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science, computer science, health or environmental sciences, or environmental economics Experience with causal inference methods, especially fixed-effects regression A demonstrated interest in
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campus in linguistics, computer science, psychology, and otolaryngology. Applicants are expected to apply for independent funding through Stanford-internal mechanisms and/or external sources such as NRSA