43 high-performance-computing-postdoc Fellowship positions at Nature Careers in United States
Sort by
Refine Your Search
-
, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all
-
pursue independent research projects but also have the opportunity to work closely with students and postdocs supported by the faculty sponsor. The Scripps Research Fellows have full Principal Investigator
-
and state-of-the-art genetically engineered mouse models. Information about the postdoctoral training program and benefits can be found at http://www.utsouthwestern.edu/postdocs . Interested individuals
-
physiological and pathophysiological stimuli, isotope metabolite tracing, metabolomics, and genome-wide crispr screening. We are a 3-year-old lab, currently consisting of one Postdoc, one Postbac technician, one
-
that combines molecular biology, computational biology, structural biology and chemistry with various ‘Omics’ techniques such as proteomics to study the pathways and protein complexes involved in the regulation
-
environment with outstanding basic science and clinical departments, competitive compensation, and excellent benefits. At QBRC, postdocs benefit from: Access to state-of-the-art computational infrastructure and
-
The Louai Labanieh Lab is seeking motivated postdocs to develop, characterize, and test novel biotechnology platforms for: i) the precise in vivo delivery of genetic cargo and ii) regulation
-
of CDRH is to protect and promote public health. CDRH assures that patients and providers have timely and continued access to safe, effective, and high-quality medical devices and safe radiation-emitting
-
equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved
-
-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets