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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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experience with analysis of large health databases, such as claims or electronic health record data. Required Application Materials: Curriculum vitae Cover letter describing relevant experiences, interests
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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care providers in identifying and managing patients with referral-warranted oculoplastic disease. Required Qualifications: - MD or PhD with experience in cell culture, data gathering, data analysis
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from individuals from a broad diversity of PhD-granting institutions, backgrounds, and life experiences. The postdoctoral research scholar program provides time for scholars to pursue their own research
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Qualifications: Doctoral degree (PhD or equivalent) in Genomics, Bioengineering, Biology, Biochemistry, or a related field. Experience in developing single-cell sequencing technologies is highly desirable. Prior
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. Responsibilities: As a member of the lab team, you will bring your knowledge to the group and learn protocols / standard operating procedures, conduct experiments, analyze data, assess literature, and prepare
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Posted on Mon, 06/23/2025 - 11:20 Important Info Deprecated / Faculty Sponsor (Last, First Name): Kapiloff, Michael Other Mentor(s) if Applicable: Jeffrey L. Goldberg, MD, PhD Stanford Departments
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) https://med.stanford.edu/phosctrm.html (link is external) How to Submit Application Materials: To apply, applicants should submit a cover letter, CV, and contact information of 3 references by email to
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outstanding resource to apply biomedical statistical tools for data analysis for our groups' ongoing preclinical work and tissue assays. Perform RNA sequencing, including bulk sequencing, single-cell sequencing