29 high-performance-computing-postdoc Postdoctoral research jobs at SUNY University at Buffalo
Sort by
Refine Your Search
-
cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and
-
of biological chemistry Good communication, organization, and time-management skills Ability to perform projects independently and as part of a team Physical Demands Salary Range $47,500 - $50,000 Additional
-
Position Summary Professor Barbara Prinari in the Department of Mathematics seeks a Postdoctoral Associate (In-House Title: Visiting Assistant Professor) to perform independent and directed research in
-
are available within the various School’s Departments. The successful candidate will perform independent and directed research to achieve the objectives of the research project within your department. Your work
-
computational multi-omic data analysis Physical Demands Salary Range $56,484 - $68,604 Additional Salary Information The salary range reflects our good faith and reasonable estimate of the possible compensation
-
As a postdoctoral research associate in the department of Physics, this position will support the research program of Prof. Nie (PI)’s projects focusing on investigating novel organo-inorganic hybrid
-
Leadership (PAL) program is a structured two-year experience, offered through the University at Buffalo’s School of Pharmacy and Pharmaceutical Sciences (SPPS) Department of Pharmacy Practice (PHM
-
Leadership (PAL) program is a structured two-year experience, offered through the University at Buffalo’s School of Pharmacy and Pharmaceutical Sciences (SPPS) Department of Pharmacy Practice (PHM
-
focuses on discovering new functions encoded among gut anaerobic bacteria and bacteriophages using high-throughput functional genomics. We are also interested in bacteria-phage interactions and how phages
-
modern theoretical and computational techniques. Responsibilities include: Working with our experimentalists and computational scientists to build relevant database of materials of interest. Using modern