Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in
-
and scripting languages. Extensive knowledge of parallel programming techniques, including shared memory and message passing parallel programming, and knowledge of GPU programming. Experience with
-
Researcher (R1) Country Australia Application Deadline 21 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
information, including information regarding eligibility to participate in the State Universities Retirement System and the State of Illinois Group Insurance program, can be reviewed here: https
-
GPU clusters to enhance efficiency and scalability. Knowledge, Skills, and Abilities: Good communication and teamwork skills; Strong skill in large language model customization techniques including
-
://www.rc.ufl.edu/about/hipergator/ ), and the AI NVIDIA GPU SuperPOD (https://news.ufl.edu/2020/07/nvidia-partnership/ ) supporting UF’s campus-wide AI initiative (https://ai.ufl.edu ). These resources are available
-
resources of 48 GPUs, including 16 * NVIDIA A30, 16 * NVIDIA A40, and 16 * NVIDIA A100. Detailed information about the CEEC Department can be found at: http://www.unlv.edu/ceec MINIMUM QUALIFICATIONS
-
tracking), dataset curation, HPC/GPU programming, blockchain for secure data, C-family languages, and embodied AI/robotics are a plus. Experience with general network resilience, cellular automata
-
. Experience with graph-based data analysis or anomaly detection methods. Exposure to high-performance or GPU-based computing environments. Demonstrated ability to contribute to publications or technical reports
-
, retrieval augmented generation, and in-context learning ● Advanced Statistical Analysis: Proficiency in advanced statistical techniques and probability theory ● GPU Programming: Experience with GPU