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Field
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information from ‘deep tissue phenotyping’ datasets. The successful applicant will have significant experience working with machine learning algorithms. They will have strong Python programming skills and
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programming skills (Matlab/Python, C(++)) and experience with deep learning frameworks such as PyTorch, TensorFlow, Keras has been in your focus. Further, experience with standard supervised machine learning
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XR facilities including VR/AR headsets, GPU workstations, robotics, 3D immersive wall and 3D motion tracking. The successful candidate will advance digital pedagogy, and design and deliver impactful
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transformative AI projects. MINIMUM QUALFICIATIONS Expert knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with
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facility will combine traditional compute provision with AI focused GPU capabilities. What you’ll do Work with colleagues from the University to deliver the Secure Data Research Environments IT
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well as MyChart data. The position requires strong programming skills and familiarity with large language models (LLMs). The position will support projects focused on clinical natural language processing
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in data integration and interoperability. Strong understanding of data architecture, data modeling, and ETL processes. Proficiency in programming languages such as SQL, Python, or JavaScript
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. Experience with algorithm design, embedded DSP development, multithreaded programming, GPU development, SDR hardware platforms, FPGA development, and/or Linux-based designed tools is desired. Representative
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documentation, and promote the benefits of our HPC resources across the institution. Collaborating closely with academic staff, researchers, and IT Services, you will ensure the HPC and GPU facilities
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the technological needs of ORNL researchers! We enable research while protecting ORNL assets, especially from cyber incidents. Our team works with other research support groups to help research programs identify