97 computer-security "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Minnesota
Sort by
Refine Your Search
-
candidate will help enable our ongoing research by performing various molecular experiments, perform laboratory maintenance, help with ordering, and support of a safe and secure workplace. Job Duties and
-
setting Experience with LENA Hub/Online Facility with basic computer software in PC and Mac (i.e., Microsoft Office) Facility with research databases (Qualtrics, REDCap, LORIS) Preferred Experience
-
crops adoption, prepare stakeholders to address issues that arise, and be developed alongside an evaluation of the Economic and Environmental Clusters of Opportunity (EECO) program, Forever Green
-
, self-motivated employee at our Snyder Hall site to work in the UMGC's Innovation Lab (http://genomics.umn.edu/research-innovation.php). The successful candidate will help to conduct experiments under
-
communicated to ensure both ecological and national security. Primary Duties (50%) - Interviews & Systematic Review Research Engage in the design, implementation, data curation, coding, and analysis of semi
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The lab of Dr. Kendrick Kay (http://cvnlab.net) at the Center for Magnetic Resonance Research at the University of Minnesota
-
with a focus on complex shoulder girdle and chest wall pathology, alongside additional subspecialty topics. Our research program emphasizes advanced medical technologies, including 3D printing
-
with an expertise in dynamical systems, stochastic processes or network dynamics in the context of mathematical biology. Prior experience with mathematical/computational neuroscience and scientific
-
, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing program Excellent retirement plans
-
, working with Professor Russell Funk. This position focuses on developing and applying mathematical and computational methods to understand how scientific knowledge evolves over time. About the Project