38 programming-"https:" "https:" "https:" "BioData" Fellowship research jobs at University of Michigan
Sort by
Refine Your Search
-
and program-wide seminars and journal clubs. They will have opportunities to drive undergraduate and graduate students and to teach new skills to technicians and other members of the research group
-
. This postdoctoral position provides computational research capacity within DCMB to execute a research program at the interface of genomics, network science, and behavioral data modeling relevant to gene expression
-
one of the world's most distinguished and largest biomedical research institutions and health systems and offers excellent professional development programs for transitions to career independence
-
of Michigan, directed by Ashley N. Gearhardt, Ph.D ., is seeking a Postdoctoral Research Fellow to join a multidisciplinary research program focused on the addictive potential of ultra-processed foods (UPFs
-
Apply Now Job Summary The Inclusive History Project (IHP)-Dearborn Program is looking for a Research Fellow to join our team. The IHP is a multi-year presidential initiative studying and documenting
-
program. Our interdisciplinary team investigates the biological mechanisms linking obesity to breast cancer and explores how lifestyle (exercise/nutrition) and pharmacological interventions can reduce
-
conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis
-
values are Compassion, Leadership, Excellence, Responsibility, Trust, Creativity and Inclusion. U-M offers comprehensive benefits to help you stay well and to support you as you plan for a secure future
-
software and research at www.cernaklab.com Required Qualifications* Candidate must have strong programming skills in Python, React, JavaScript and related languages. Expertise in one or more of the following
-
preparation and submissions. 20% Data Management: Manage the programming, organization, documentation, merging, cleaning, and storage of datasets. Create and document final analytic datasets. Compile and