Sort by
Refine Your Search
-
applicant for a Post Doc position. The candidate will work on multiple funded/unfunded research projects that aim to develop novel methods and devices to assess and improve neurological outcomes after stroke
-
this position. Attach a full CV. Job Summary The Cartilage Healing and Regeneration (CHaRM) lab at Michigan addresses one of the prevalent causes of OA development, unrepaired traumatic articular cartilage injury
-
the pathogenesis of food allergies and other allergic conditions. As a clinical research assistant for M-SIBS, a birth cohort examining the development of food allergies, you will play a key role in the study's
-
disseminates evidence-based resources and assistance to the school safety community. The center works to identify best practices and evidence-based resources, develop training materials, coordinate training
-
mechanisms at molecular and cellular levels. Postdoctoral fellows will join a supportive, inclusive environment and contribute to exciting research while developing their own independent research programs
-
Statement Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through
-
development and continued learning from experienced colleagues. The research team includes physicians, biostatisticians, project managers, study coordinators, data managers, and administrative support. Mission
-
and research into actionable practice, we develop interventions and innovations that promote health, prevent disease, empower people to manage chronic illness and disabilities, and facilitate collective
-
concrete and clay printing while collaborating with other faculty members. Additionally, you should have experience conducting research and will help with the development of a university-wide
-
Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when