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commonly used techniques for biomolecular structure prediction and design. A strong track record of research productivity, evidenced by publications. A highly collaborative mindset and a love of science
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). Proficiency in computational biology and commonly used techniques for genome annotation and search. A strong track record of research productivity, evidenced by publications. A highly collaborative mindset and
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visual stimulus design, eye tracking, MRI or large-scale electrophysiology techniques (ideally Neuropixels). Additionally, candidates should possess a strong background in quantitative fields such as
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are highly desirable. Candidates should also have a strong track record of productive research and publications, as well as excellent written and verbal communication skills. The candidate must be able
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to candidates with a strong background in any of the following: immunology, cancer biology, animal models, iPSC models. Successful applicants will have a track record of productive research and publications
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, applicants with a strong track record of publications in high-quality international journals are especially encouraged to apply. The candidate will contribute to one of the following projects: 1. Using mass
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team Desired Qualifications: Track record of relevant publications Track record of contributing to successful grant applications Experience working with rodent models of neurodegenerative disease and/or
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Immunology community at Stanford. Training will be designed to equip the fellow with foundational skills and establish scientific track record required for success in academia or biopharmaceutical industry
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manipulation, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, sit, use a telephone, writing by hand, and sort/file paperwork or parts. Rarely twist/bend/stoop/squat, kneel/crawl
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discipline with strong programming and statistics skills, experience analyzing large datasets (cloud computing/big data workflows preferred), and a track record of completed research projects. Prior experience