31 computer-science-image-processing-"University-of-Iowa" Postdoctoral positions at Virginia Tech
Sort by
Refine Your Search
-
comfortable with interactions with mice to maintain a successful operation of the research activities. Fundamental knowledge and an interest in molecular and cell biology is a necessity. Techniques we use
-
start date. Experience in brainstem analysis using neuromelanin imaging at both structural and functional levels Experience with various functional connectivity approaches (e.g., PPI, Beta-Series, and C
-
Job Description Dr. Zhiwu (Drew) Wang’s research team at Virginia Tech invites applications from highly motivated candidates specializing in environmental engineering, specifically focused on PFAS
-
his PhD degree in Prof. Curtis Berlinguette’s lab at University of British Columbia in Canada in 2018. He then moved to Prof. Erwin Reisner’s lab at the University of Cambridge for postdoc program. In
-
candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
-
and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
-
interdisciplinary team at the NSF COMPASS Center, which integrates tissue engineering, stem cells, materials, virology, computational biology, machine learning, molecular environmental engineering, science
-
Job Description Dr. Shenglin Mei lab at the Fralin Biomedical Research Institute (FBRI) Cancer Research Center- DC is seeking highly motivated Computational Biology postdoctoral associate to join
-
Job Description The PHASE research group within the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech invites applications for a postdoctoral researcher position in
-
critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale