16 parallel-and-distributed-computing-"U.S" Fellowship research jobs at University of Texas at Austin
Sort by
Refine Your Search
-
packaging, with the aim of reestablishing U.S. prominence in semiconductor manufacturing. With over $1 billion in funding from the US DoD and the state of Texas, we’re at the forefront of creating cutting
-
program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and engineering education for over a century. With 11
-
. Purpose We are seeking highly motivated candidates for postdoctoral fellow positions within the Bureau’s hydrology research group. These fellows will be key members of an expanding research program focused
-
motivated candidates for postdoctoral fellow positions within the Bureau’s hydrology research group. These fellows will be key members of an expanding research program focused on assessing Texas water
-
motivated candidates for postdoctoral fellow positions within the Bureau’s hydrology research group. These fellows will be key members of an expanding research program focused on assessing Texas water
-
. Experience with the use of electronic medical records and clinical data. Self-direction, critical thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including
-
, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for area one, which focuses on the integration of social science research with
-
/ epigenomics. The postdoctoral scholar will also join the PRC’s postdoctoral training program, which has associated professional development, mentoring, and capacity-building activities. What benefits do I
-
. Required Qualifications · PhD in Geophysics · Experience with land seismic acquisition, DAS, and time-lapse monitoring · Proficient in computer programming · Extensive publication and presentation record
-
Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation