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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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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 4 days ago
, for instance with OpenMP/Cuda, and external libraries can be investigated (e.g., Psyclone). 3. Implementing Additional Features for Wave Propagation: The following additional features will be implemented
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will
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, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand). Preferred Qualifications: Familiarity with advanced storage
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Computer Science, Information Technology or a related field Proficiency with multiple Linux distributions such as Ubuntu, CentOS, Debian, and Red Hat. Hands-on experience with Git and at least one scripting
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software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g., Docker, Podman, Apptainer), networking
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knowledge of multiple modern NLP and LLM libraries and models. Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications, with attention to data efficiency
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NLP, LLM, machine learning and deep learning skills. Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment. Expert-level knowledge of multiple modern
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, architecture simulation and prototyping for future computer systems and their applications, to reach multiple orders of magnitude better performance, energy-efficiency, and total-cost-of-ownership. We
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will