70 programming-"St"-"FEMTO-ST"-"UCL"-"St" Postdoctoral positions at Conservatorio di Musica "Santa Cecilia"
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Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a healthier world
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will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
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their own research program, under supervision of the principal investigator, as well as work across the many outstanding resources, institutes (e.g. Institute for Human-Centered AI) , and faculty labs across
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Posted on Mon, 08/04/2025 - 11:14 Important Info Deprecated / Faculty Sponsor (Last, First Name): Wolak, Frank Stanford Departments and Centers: FSI Program on Energy and Sustainable Development
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completed all requirements for a PhD program (or equivalent) except the dissertation in ecology, environmental science, or a closely related discipline at the time of application Additional qualifications
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contributions, including 1-2 first-author, peer-reviewed publications. Advanced proficiency in programming for applied statistics, modeling, and data science (e.g., Python, R, MATLAB). Experience with version
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to provide a full-time training program of advanced academic preparation and research training under the mentorship of a faculty member. Applications are welcome from all areas of theoretical physics, broadly
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phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R, Python) for data
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for solid tumors. Our research spans both mechanistic and systems-level studies of cytokine and receptor signaling, T cell programming, cancer cell intrinsic immune evasion, and the tumor microenvironment
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• Demonstrated experience in computational or quantitative research methods. • Strong programming skills in Python. • Experience with high-performance computing, geospatial data, and causal inference methods