127 computer-science-programming-languages-"UCL"-"UCL" Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
research program related to the language, literacy, and culture of African Americans. They should have experience with mixed methods research in the humanistic social science tradition. As a portion of the
-
Posted on Wed, 02/12/2025 - 13:20 Important Info Deprecated / Faculty Sponsor (Last, First Name): Han, Summer Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR
-
Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
-
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
-
programming languages (e.g., Python, MATLAB, R) for complex data analysis Excellent written and verbal communication skills Ability to work both independently and collaboratively in a research setting Preferred
-
embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
-
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 communication
-
and explain trends; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the program or function. Write and/or edit complex content for proposals, research grants
-
, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research on human trafficking, including supply
-
for healthcare. The Alsentzer Lab is an interdisciplinary research group in the Department of Biomedical Data Science at Stanford University. Our mission is to leverage machine learning (ML) and natural language