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well as many other manual and automated tests. We also do a CSF specific transferrin test, which runs electrophoresis and immunofixation on a body fluid in parallel with serum to check for CSF leakage
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to build systems where agents operate with independence
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radar control, data acquisition, and visualisation systems. You'll dive into radar signal processing, tackling high-throughput and parallel data challenges using technologies like CUDA and OpenCL. You’ll
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groups settings. Ability to coordinate with faculty, graduate and undergraduate students, and external collaborators. Skills in parallel computing, parallel application design and development, and
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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parallel with attending physicians to optimize patient outcomes. Create a Job Match for Similar Jobs Logo About The Ohio State University Join Ohio State’s community.Together, we’ll create meaningful impact
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, jupyter notebooks, etc. The research engineer will carry out: i) Analysis of the issues related to the different use cases. ii) Performing massively parallel simulations iii) Development of the necessary
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning