42 assistant-professor-computer-"https:"-"https:"-"https:" Fellowship positions at University of Michigan
Sort by
Refine Your Search
-
School of Public Health, within a 5-minute walk of the Medical School and in the central campus of the University of Michigan. The Seo Lab is also affiliated with the Neuroscience Graduate Program (NGP
-
Summary The Tenuta Lab at the University of Michigan seeks exceptional applicants to join a vibrant research program focusing on developing new generation therapies for dental caries. Strong focus
-
research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
-
professor: Scholarship. The primary and overriding focus of the program is the production of scholarship to enter the job market successfully in the fall of the second fellowship year. To this end, two
-
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
-
to the direction of their own project and to other ongoing work in the group, assist in the training of lab members, and participate in the preparation of research publications. All work must be conducted in
-
Apply Now How to Apply Please send a CV and research summary to tcernak@umich.edu Job Summary We are seeking a highly skilled computational expert to enhance our laboratory's capabilities in
-
research that together enhance our contribution to society. Job Summary The Najarian Lab in the Gilbert S. Omenn Department of Computational Medicine & Bioinformatics is seeking a Research Fellow to lead
-
and discussions, allowing the candidate to impact the direction of their research project and other projects within the research group. Assist in training of lab members. Contribute to preparing
-
fragmented genomic data; Experience working with herbarium data; Strong bioinformatics skills; Strong biodiversity informatics skills; Knowledge of phylogenomics and population genetics; Knowledge of plant