Sort by
Refine Your Search
-
conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
-
to learn how your demographic data are protected, when the data may be used, and your rights. Disability Services To request disability accommodation in the application process, contact the Disability
-
criteria apply. For more information, please visit the University of Washington Labor Relations website . Candidates must hold a PhD or demonstrate completion of all degree requirements by the start of
-
and staff, and providing support in applying for additional research grants. There is also opportunity to conduct analyses of already-collected data. This position has availability for onsite or remote
-
and staff, and providing support in applying for additional research grants. There is also opportunity to conduct analyses of already-collected data. Job Description Primary Duties & Responsibilities
-
Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
-
Personnel to learn how your demographic data are protected, when the data may be used, and your rights. Disability Services To request disability accommodation in the application process, contact
-
& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited
-
is 7/1/24. Qualifications Completed PhD or a foreign equivalent. The current project seeks to revolutionize the entire process from data to prediction with a paramount focus on reproducibility and
-
function. Knowledge and/or experience in high dimensional and conventional flow cytometry. Mouse handling and tissue processing. Generation and analysis of bulk and/or single cell transcriptomic data