Sort by
Refine Your Search
-
Listed
-
Employer
- Argonne
- Washington University in St. Louis
- Medical College of Wisconsin
- Princeton University
- The Ohio State University
- University of North Texas at Dallas
- University of Washington
- Brookhaven Lab
- Florida International University
- George Washington University
- Northeastern University
- Oak Ridge National Laboratory
- Stanford University
- Texas A&M University
- University of California, Merced
- University of Cincinnati
- University of Oklahoma
- University of South Carolina
- Washington State University
- 9 more »
- « less
-
Field
-
platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
-
diverse student body of more than 56,000 and 290,000 Panther alumni. U.S. News and World Report places dozens of FIU programs among the best in the nation, including international business at No. 2
-
of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH
-
, research, and outreach programs. The Gastrointestinal Laboratory (GI Lab) at the Texas A&M College of Veterinary Medicine & Biomedical Sciences (CVM) provides specialized testing services to help
-
written communication skills. A collaborative mentality towards research and mentoring. Desired skills and techniques include experience in parallel computation and advanced numerical programming, using
-
optimization, with experience in adaptive routing and SDN technologies. Proficiency in programming languages such as Python, C/C++, and experience with parallel computing frameworks. Effective written and oral
-
in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
-
with Python and R programming languages. Experience with functional genomic technologies including massively parallel reporter assays. Biomedical informatics or biomedical research experience. Preferred
-
) Proficiency in programming languages such as Python or C++ Experience with AI frameworks like PyTorch or TensorFlow Strong communication skills and ability to work in a team environment Ability to model
-
screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing