47 programming-"Multiple"-"U"-"U.S"-"Prof"-"O" "O.P" Postdoctoral positions at Stanford University
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-month appointment Appointment Start Date: September 1, 2025 Group or Departmental Website: https://hai.stanford.edu/research/fellowship-programs/hai-postdoctoral-fellow-en... (link is external) How
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team with other lab members. Our lab is an inclusive space that fosters learning & curiosity, promotes team work and values mentorship to drive an innovative research program that pushes the boundaries
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or gene editing by CRISPR-Cas9 is required. Experience with flow cytometry and/or mass cytometry analysis is desirable. Interest in learning new technologies is mandatory. Basic R programming skills
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, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
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available immediately in the Molecular Imaging Program at Stanford (MIPS). The successful candidates will join a dynamic research group focusing on the development of peptide-based therapeutics and
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Science. Proficiency in programming (Python, Julia), and high-performance computing (provide evidence with specific examples) Ability to work independently and collaboratively. Strong written and oral
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those interested in exploring industrial and entrepreneurial career trajectories. Required Qualifications: Ph.D. in a physical science and engineering field Strong programming background Experience in
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an individual with strong statistical and computing backgrounds. Successful applicants should have a Ph.D. degree in epidemiology (or biostatistics or a related field). Strong programming skills in R are required
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families and to provide timely, actionable insights that inform policies and programs that help every child thrive from the start. The postdoctoral scholar will be advised by Dr. Philip Fisher, the Diana
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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