Sort by
Refine Your Search
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Post-Doctoral Associate Mechanics, Statistical Physics, and Disordered Materials About the Job Professor Hudson Borja da
-
, with opportunities to develop independent research directions. Visa sponsorship is not available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid
-
an academic setting or in industry. Visa sponsorship is not available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays
-
. Visa sponsorship is available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction
-
with statistical genetics & computational biology, using yeast as our main model system. The postdoctoral scholar will have considerable freedom to pursue their research goals, assuming they broadly fit
-
Postdoctoral Research Associate, Department of Basic Medical Sciences(College of Medicine - Phoenix)
research environment and welcome applicants from all backgrounds. Individuals from biomedical research are strongly encouraged to apply. This position is eligible for visa sponsorship. Outstanding U of A
-
, reagents, and other solutions and test for pH level. • Keep meticulously detailed records of all experiments and procedures in a laboratory notebook; perform statistical analyses of data obtained from
-
Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 00246 - Human Genetics Location Campus City
-
in vitro and in vivo studies to evaluate the efficacy and safety of experimental immunotherapies. (20%) •Analyze and interpret experimental data using statistical methods and present findings
-
glycolytic rate assays (ECAR/GlycoPER). Function 3 (15%) Analyze, interpret, and integrate transcriptomic, poly(A) mapping, and proteomic datasets using bioinformatic and statistical tools in collaboration