138 requirements-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at Yale University
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
is 100% on site in New Haven, Connecticut. Candidate requirements Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field (e.g
-
Show all breadcrumbs Postbaccalaureate Research Assistant — Biomedical Engineering, School of Engineering and Applied Sciences Thursday, August 7, 2025 Title of the Position: Postbaccalaureate
-
Compensation: https://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale/postdoctoral-compensation Benefits: https://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale/benefits-summary Application Details: We
-
epidemiology (Mendiratta G et al, Nature Communications, 2021). Requirements for the position include a doctoral degree, strong programming and data analysis skills, one or more first author research
-
. Strong programming and data analysis skills in Python and PyTorch; solid software engineering habits (git, testing, reproducibility). Demonstrated research independence with one or more first-author
-
Geriatrics and Department of Biostatistics at the Yale School of Public Health and the Monin Lab. https://medicine.yale.edu/intmed/geriatrics/ (Link is external) https
-
Science, Electrical Engineering, or related field * Originality, independence, and passion for interdisciplinary science Desirable Experience: * For some of the positions, experience with molecular dynamics
-
Neitzke). Apply at ${JobURL} - The Weizmann Institute: Lie Groups, Ergodic Theory, and Cohomology, with Uri Bader and Alex Lubotzky. See https://www.weizmann.ac.il/wsos/admissions/how-apply-1 - Hebrew
-
-of-the-art techniques including CRISPR-based genetic engineering, multi-color flow cytometry, western blot, mouse genetics, viral gene delivery, pre-clinical drug testing in xenotransplantation models
-
future. This post-doctoral position will investigate the use of knowledge graphs on automatically extracted metadata at a cross-disciplinary global scale. Using LLMs and traditional data engineering