20 data-science-phd Fellowship research jobs at University of Michigan in United States
Sort by
Refine Your Search
-
Listed
-
Field
-
research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
-
of Orthopaedic Surgery is conducted by a diverse group of faculty, staff and trainees with expertise in biology, engineering, health outcomes, and healthcare. Our research teams are focused on improving treatment
-
* Qualified applicants must have a PhD degree in biology, Life Sciences, Chemistry, Biomedical Engineering, or a related field. They should also have at least 5 years of experience conducting laboratory-based
-
for Social Research, the Medical School, the Michigan Institute for Data Science, The Institute of Health Policy and Innovation, and other research groups across campus. The start date is flexible; the
-
in which they will acquire core skills in research methods including analytic skill development, manuscript writing, project management, and grant development through applied research as
-
information from electronic health records Conduct systems biology research and analysis for high dimensional data Required Qualifications* PhD degree or higher in computer science, biomedical informatics
-
from sociology, anthropology, economics, psychology, information and computer science, statistics, geography, public policy, public health, and medicine, among others. SRC is a unique, world-renowned
-
. Follow and maintain laboratory protocols and procedures. Required Qualifications* PhD degree in Biomedical Engineering, Pathology, Bioinformatics, Electrical Engineering or a related field. At least 5
-
for up to two years in which they will acquire core skills in research methods including analytic skill development, grant and manuscript writing, and project management through a combination of applied
-
* This position requires a PhD, preferably in microbiology, molecular biology, bioengineering, chemistry, or related discipline preferred. Candidates must be interested in working with technical aspects of cancer