873 parallel-and-distributed-computing positions at University of Minnesota in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, ensuring high-quality, job-embedded clinical experiences aligned with licensure standards and program outcomes that prepares teachers to stay in the field of education for years to come. This position will
-
University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply
-
Coordinator Assistant for the BIOL 1015: Human Physiology, Technology, and Medical Devices cohort is a 0.25 (10 hours/week) graduate assistant position within the College in the Schools program in the College
-
for spaces that meet the needs of specialized clientele. Qualifications Required: American Library Association accredited master’s degree in library/information science or related. 6 months of experience in
-
project/program leadership, along with manage, interpret, and share data. -Ability to work independently, creatively, and adaptively in a fast-paced and dynamic work environment. -Ability to foster quality
-
does not offer a STEM OPT training program. The University of Minnesota is committed to fostering local talent through employment opportunities. While this position utilizes a remote modality
-
generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans
-
recognized educational program, and pioneering clinical trials. We are dedicated to improving dermatological care, not only for today, but The Department of Dermatology is committed to providing excellent
-
School's two campuses: Twin Cities and Duluth. We sponsor five fellowship programs—sports medicine, hospice and palliative medicine, clinical informatics, behavioral medicine, and human sexuality— and offer
-
faculty member at the Associate Professor level from candidates with a Ph.D or equivalent degree specializing in biomedical engineering, electrical & computer engineering, neuroscience, or related fields