Sort by
Refine Your Search
-
Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field. Demonstrated experience developing AI and machine learning models for biomedical applications. Job
-
and analytical skills, experience with spatial ecology and movement analyses, and the ability to work effectively in a collaborative, multidisciplinary research environment. Qualifications: Applicants
-
-source contributions. Demonstrated experience with spatial-AI or related spatial-data methods (e.g., multi-layer spatial queries, spatial statistical modeling, or atlas-based registration of multi-modal
-
primarily computational, working with long-read, short-read, single-cell and spatial transcriptomic data. The successful candidate will develop reproducible analysis workflows; analyse long-read RNA and DNA
-
under Drs Ostrom and Patel’s mentorship. Be You. Requirements: The applicant should have a Ph.D. in computational biology, bioinformatics, computer science, statistics, genetic epidemiology, or a related
-
requirements are Experience in working with large-scale spatial-temporal traffic and/or travel behavior data, e.g., loop detector, floating car data, GPS data, cellphone data. Experience with transport