Sort by
Refine Your Search
-
Listed
-
Employer
- University of Texas at El Paso
- Duke University
- Carnegie Mellon University
- Harvard University
- National Renewable Energy Laboratory NREL
- Oak Ridge National Laboratory
- Purdue University
- University of New Hampshire – Main Campus
- University of North Texas at Dallas
- University of Pittsburgh
- University of Texas at Austin
- California Institute of Technology
- Lawrence Berkeley National Laboratory
- Texas A&M AgriLife
- The University of Iowa
- University of Alabama at Birmingham
- University of Kentucky
- University of Louisville
- University of Massachusetts Medical School
- University of Miami
- University of Oregon
- University of Texas Rio Grande Valley
- Yeshiva University
- 13 more »
- « less
-
Field
-
applications for one Research Assistant Professor (RAP) position in Computer Science (CS) Education Research and Artificial Intelligence (AI) in Education. This position is designed to strengthen the College's
-
Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems and society to understand how computational biology might better serve
-
strong collaborative and programmatic ties with several other departments within (Psychology, Physics, Chemistry-Biochemistry) and outside the College of Sciences (Department Computer Science), College
-
A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
-
Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
-
, the candidate will engage with U.S. ATLAS program office and management team to insure the continuation of the University of Pittsburgh's participation in software development and support on behalf of the ATLAS
-
. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
-
the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
-
involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
-
maintain existing analysis/sorting equipment and computer systems. Participate in the selection of new facility equipment and software with advancing technology so that the facility maintains its status as a