47 phd-computer-artificial-machine-human Fellowship research jobs at University of Michigan
Sort by
Refine Your Search
-
stem cells to self-regulate their phenotype, systems-level evaluation of stem cell chondrogenesis and maturation, and whole knee biomechanics. We are looking for a diligent, talented, and self-motivated
-
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
-
) PhD graduate who is interested in strengthening their experimental, analytical, and publishing skills before transitioning to independence within academia or bio-pharma industry. Transferring
-
procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics
-
environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
-
of mRNA translation initiation and its implications for human health and disease, with a particular focus on repeat-associated non-AUG (RAN) translation. Using cryo-electron microscopy and biochemical
-
on December 14, 2025. All applicants are required to submit the following: A brief cover letter (max two pages) that includes a summary of the applicant's PhD research and career goals and outlines how an Erb
-
particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
-
conjunction with the PI. Think creatively about research projects to help shape the long-term direction of the lab?s research program. Work cooperatively with other members of the lab and assist in training
-
Qualifications* PhD in biochemistry or related field with at least 2-3 years of relevant laboratory research experience. The ability to work productively in a team environment and work with limited supervision