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: Dermatology Postdoc Appointment Term: The position will be for a term of 1 year with renewal for up to 3 years. Appointment Start Date: Immediately Group or Departmental Website: https://sarinlab.stanford.edu
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postdoctoral position in computational biology/bioinformatics • Focus on analyzing multi-omic data from melanoma patients receiving TIL therapies • Co-mentorship by Dr. Allison Betof Warner and Dr. Zinaida Good
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@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars
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at Stanford, this position offers the opportunity to work with some of the most detailed data in clinical medicine — including second-by-second EHR metadata and continuous physiologic monitoring — to study how
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/pain/research/research-positions/postdoc-openings.html (link is external) How to Submit Application Materials: https://redcap.link/painpostdocapp (link is external) Does this position pay above the
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research accomplishments, and your broader career goals Curriculum vitae (CV) Contact information for 3 references, one of which must be your PhD thesis advisor Please submit materials by email to balch
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Application Materials: Please send your application materials to Adina Fischer, MD, PhD at adinaf@stanford.edu (link sends e-mail) . Does this position pay above the required minimum?: No. The expected base pay
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Application’ in the subject line of the email. Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral
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Posted on Sat, 11/09/2024 - 11:35 Important Info Faculty Sponsor (Last, First Name): Gardner, Christopher Other Mentor(s) if Applicable: Clarke, Shoa, MD, PhD; Follis, Shawna, PhD, MS; Henriksen
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. This position will be located in the Center's Cancer Cell Therapy Data Hub, which is led by Dr. Zinaida Good and provides a collaborative environment that pushes the cutting edge of technology to learn from