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/Program Administration Workstudy Position: No Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas at Little Rock The University of Arkansas at Little Rock is a
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in 4D radar, thermal camera, SLAM or robotics software. Strong C++ and CUDA programming, with ROS1/2 experience. Experience in deploying SLAM on Jetson, ARM, or other edge platforms. Familiar with SLAM
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be an expert within object oriented fortran, CUDA, HIP, build systems such as CMAKE and Autotools, the Github CI/CD platform and schedulers such as SLURM and LSF10. The candidate should hold a MSc in
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University of California Davis Health System | Sacramento, California | United States | 2 months ago
Number: 6235151 Pharmacy Technician 2 (CUDA EVE) Job Summary #CA-DS The Technician staff are responsible for drug storage, preparation and distribution of medications throughout UCDMC under the supervision
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Slurm) and package managers (Spack or similar); and 12. Technologies for heterogeneous large-scale computing (CUDA-aware MPI). This position is eligible for LBNL's Employee Referral Program benefit(s
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. Experience with MatLab, CUDA and IDL programming preferred. About the Department School of Physics and Astronomy: https://cse.umn.edu/physics Pay and Benefits Pay Range: $15.25 - $20 per hour; depending
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, CUDA. B3 Knowledge of UK data protection laws and certification and accreditation schemes related to the processing of sensitive data for research. Skills Essential: C1 Excellent strategic leadership
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Actions Home Help Job Description More Actions UC Davis Health Careers Sign In New User Previous Job Job Title Pharmacy Technician 2 (CUDA EVE) Next Job Apply for Job Job ID 78096 Location Sacramento Full
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using GPU/CUDA clusters for AI/ML and/or image processing. Proven ability to work in a dynamic environment and support large data systems. Effective documentation skills, including ability to prepare
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Computing (HPC) knowledge around cluster builds, software, parallel computing, workload management, and cluster management. Knowledge with CUDA Programming Workflows, GPU programming, and GPU support