67 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" Postdoctoral positions at University of Minnesota
Sort by
Refine Your Search
-
Technical Development Work • Become proficient at programming the digital magnetic resonance spectrometer (DMRS) • Optimize and validate MR techniques to measure pO2 in encapsulated devices • Perform data
-
digital health can improve food access and education in food preparation. Primary responsibilities conducting interviews, supervising research assistants, managing and analyzing data, and assisting with
-
of Retired Persons’ (AARP) annual State Scorecard on Long-Term Services and Supports (LTSS) for Older Adults (http://www.longtermscorecard.org/), due to the dynamic collaboration that exists between
-
sequencing (DArTseq). This position will analyze genetic structure, assess species identification, and detect hybrids. Morphological data for identification, SWD infestation rates, and seed viability
-
to microbial biodegradation of plastics. Maintain cultures and keep detailed notebooks and digital data related to the project. 20% Supervise graduate students and undergraduates in performing routine laboratory
-
. • The successful candidate will work efficiently to master the scientific field, contribute positively to the scientific culture of the laboratory, and present their own data and analysis in formal and informal
-
youth. Pay and Benefits Pay Range: $64,000 - $75,000; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding
-
Range: $62,232 - $75,564; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive
-
phenomenology, field theory, astroparticle physics and cosmology. About the Department School of Physics and Astronomy: https://cse.umn.edu/physics Pay and Benefits Pay Range: $61,008 - $65,000; depending
-
sponsorship. *Duties/responsibilities: -performing high level experimental, theoretical, and numerical research and data analysis (55%) -presentation publication, and proposal preparation (20%) -mentoring PhD