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resulting from T regulatory (Treg) cells by conducting genetic screens to overcome this suppression and to enhance CAR T cells for lymphoma. On the other hand, we also seek to apply the lessons learned from
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, clinicians, and researchers with research-backed assessments to advance learning, accelerate reading research, promote understanding of learning differences, and foster equitable access to high-quality, data
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our team. We are looking for postdoc candidates to develop and apply cutting-edge technologies in spatial transcriptomics, single-cell sequencing, machine learning, and functional genomics
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Affairs. The FY25 minimum is $73,800. A fully funded postdoctoral fellowship is available in the Ophthalmic Microsystems Laboratory at Stanford, which is led by Charles DeBoer, MD, PhD in the Department
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at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
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principals to problem solve work. ● Ability to maintain detailed records of experiments and outcomes. ● Ability to quickly learn and master computer programs, databases, and scientific applications
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, mathematics, physics, or a related field. The ideal candidate should demonstrate a record of publications in the area. Strong knowledge in machine learning, statistics and programming skills (R, Python
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Posted on Mon, 08/04/2025 - 17:10 Important Info Deprecated / Faculty Sponsor (Last, First Name): Knowles, Juliet Other Mentor(s) if Applicable: Frank Longo, MD PhD Stanford Departments and Centers
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of behavior. Required Qualifications: a PhD (must be conferred before appointment start date) research experience in a related field at least one peer reviewed scientific publication able to collaborate in
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the use of R and/or Python Basic understanding of statistical modeling, and machine learning Understanding of high-throughput sequencing techniques including whole genome, whole exome, targeted capture, RNA