29 parallel-computing-"Uppsala-University" Fellowship positions at University of Michigan
Sort by
Refine Your Search
-
. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
-
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
-
send materials to ukarvind@umich.edu with Subject "SIBL Bioinformatics Postdoc". Job Summary The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and
-
research that together enhance our contribution to society. Responsibilities* Cong Ma's lab in the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan is
-
Apply Now Job Summary Dr. Con Ma?s lab in The Gilbert S. Omenn Department of Computational Medicine and Bioinformatics at the University of Michigan is seeking a postdoctoral research fellow to
-
one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
-
applications. Our research program consists of two main thrusts, 1) the development and application of state-of-the-art laser and optical sensing techniques - both on the ground and in flight - to better
-
, evidence-based care for musculoskeletal injuries and conditions. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is
-
data with behavioral and/or cognitive data in diverse study populations. Required Qualifications* Established record of peer-reviewed scientific publication. Prior experience / comfort with computer
-
leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced