38 high-performance-computing-postdoc Postdoctoral research jobs at The University of Arizona
Sort by
Refine Your Search
-
lab meetings. Literature Review: Staying up-to-date with relevant research and participating in scientific discussions. Lab and Mentorship Responsibilities: Lab Management: Performing assigned lab
-
addition to the PhD requirement, a Master's degree in GIS is preferred. Research experience relevant to the following scientific area: geospatial data science. Experience with High Performance Computing. FLSA Exempt
-
large EHRs, claims, or omics datasets. Ability to conduct research independently and within a team. Minimum Qualifications PhD in data science, biomedical informatics, computational biology, neuroscience
-
, please click here . Duties & Responsibilities Lead a NIH funded project studying inflammation and immunology in lung diseases Screen literature, perform critical analysis of prior research, design and
-
of Parkinson's disease and its treatment. Research is funded by the NIH. Capacity to perform high-precision rodent surgical procedures with the assistance of a microscope. Ability to work with rodents and train
-
Architecture is in search of a Postdoctoral Research Associate that will lead a citizen science project focused on community perspectives around greenspace, heat, and health, with an emphasis on youth engagement
-
Associate I position seeks scientists ready to pursue an ambitious program of research in astronomy or astrophysics (0.5 FTE) and in supporting service operations (0.25 FTE) of Steward Observatory
-
environmental exposure or cancer drug. We are currently seeking a candidate to lead a new research program on how tyrosine kinase inhibitors (TKIs) induce cardiotoxicity. Experience working in cardiovascular
-
toxicity associated with environmental exposure or cancer drug. We are currently seeking a candidate to lead a new research program on how tyrosine kinase inhibitors (TKIs) induce cardiotoxicity. Experience
-
. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins