51 distributed-computing-"Multiple" Postdoctoral research jobs at Texas A&M University
Sort by
Refine Your Search
-
Job Title Postdoctoral Research Associate (Multiple Openings) Agency Texas A&M University Department Cyclotron Institute Proposed Minimum Salary Commensurate Job Location College Station, Texas Job
-
Job Title Postdoctoral Research Associate in Computational Geophysics Agency Texas A&M University Department Geology Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type
-
/field personnel in research. Initial studies will focus on burn wounds, improving healing and assessing multiple wound factors using imaging and sensors. What you need to know Salary: Compensation will be
-
to obtain access to NOAA Computational Facilities. This position is contingent on extramural funding. WHO WE ARE Texas A&M University-Corpus Christi is a vibrant, Hispanic and Minority Serving Institution
-
papers, articles, and publications. Assists with the preparation and cleaning of worksite. Initial studies will focus on burn wounds, improving healing, and assessing multiple wound factors using imaging
-
Description Glimpse of the Job Are you passionate about research in astronomy and physics? The Department of Astronomy and Physics at Texas A&M University is seeking multiple dedicated Postdoctoral Research
-
by multiple funding resources, our lab applied in vitro 3D, rodent, and zebrafish models to understand the environmental impacts on the pollutant toxicities. What you need to know Salary: Starting
-
working effectively with multiple individuals. Salary: Compensation will be commensurate based on the selected hire’s education and experience. Schedule: This position may require working evening and/or
-
reactions. The position is supported by the U.S. National Science Foundation (NSF), the Department of Energy (DOE) Basic Energy Sciences (BES) program, and TAMUS-National Laboratory Office (NLO) seed funding
-
Science, Statistics, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python