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Field
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for individuals with a passion for AI research, strong programming skills, and a desire to work at the intersection of engineering and scientific discovery. The role will also provide teaching and training
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for scientific discovery, addressing critical societal challenges in biotechnology, clean energy, and emerging technologies. Responsibilities include: Leading a well-funded research program in AI-driven scientific
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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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group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics
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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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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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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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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