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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 (EVE CUDA) Next Job Apply for Job Job ID 81379 Location Sacramento Full
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#CA-DS The Technician staff are responsible for drug storage, preparation and distribution of medications throughout UCDMC under the supervision of a pharmacist and perform maintenance and inventory functions. The Technician staff fill first doses and batch doses for both IV and UD medications,...
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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 81105 Location Sacramento Full
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#CA-DS The Technician staff are responsible for drug storage, preparation and distribution of medications throughout UCDMC under the supervision of a pharmacist and perform maintenance and inventory functions. The Technician staff fill first doses and batch doses for both IV and UD medications,...
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dynamic and enterprising individual to join us as a Senior HPC Application Engineer. Key Responsibilities Port scientific applications to GPU (e.g., using CUDA, HIP, OpenACC) or optimize for multi-core CPUs
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of CUDA, MPI is a plus. Experience Experience with CFD simulation tools (e.g., OpenFOAM, Ansys Fluent, or similar) is advantageous, Demonstrated track record of peer-reviewed publications in relevant fields
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: A relevant tertiary qualification or relevant experience. Experience in a financial management role with reporting experience in a large, complex organisation. Desirable: Vendor training in CUDA/GPU
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: OpenLDAP, Slurm, IBM Spectrum Scale, Ansible, Podman, Singularity/Apptainer, MPI, Jupyter, JupyterHub, NVIDIA CUDA, Infiniband, Spack, Sphinx, and Jenkins, though comprehensive expertise is not expected and
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Open OnDemand environment and associated tools. Deploy, configure, and maintain research software packages, libraries, and frameworks (e.g., PyTorch, CUDA). Contribute to the ongoing development and
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programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries. System software stack