43 computer-"https:" "https:" "https:" "https:" "The University of Edinburgh" Fellowship positions at University of Michigan
Sort by
Refine Your Search
-
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
-
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
-
that target dental pathogens. The successful candidate will have opportunities to interact with external collaborators, such as computational biophysicists or medicinal chemists. The position would be ideal
-
. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants
-
functional MRI (fMRI), electroencephalography (EEG), and neuromodulation with low-intensity focused ultrasound (LIFU); computational analysis of fMRI and EEG data; development of new research methodologies
-
, solid mechanics, and the dynamic of locomotion on soft substrates A strong background in computational research using Discrete Element Method and continuum mechanics simulations is preferred, while
-
. Experience working with medical images. Very good computer programming skills and physics background is essential. Desired Qualifications* Nuclear medicine imaging/dosimetry experience. Experience in image
-
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
-
applications Human-centric and sensing-enabled mechanical systems Strong background in computational modeling and analysis, including finite element analysis (FEA), multiphysics simulations, and data-driven
-
. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential