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focused on fisheries and data science to support research on the interactions between energy infrastructure, especially hydropower systems, and aquatic ecosystems. This position focuses on applying advanced
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Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities
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. Basic Qualifications: PhD in electrical/computer engineering, computer science, or a related discipline A minimum of 8 years of relevant experience in image/signal processing and machine learning
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Qualifications: PhD in radiation biology, health physics, nuclear engineering, computational biology, or related areas, with experience in performing radiation dosimetry research Experience in occupational and
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to work assignments. This position requires analysis of complex scientific and engineering information to determine the classification of documents. The Senior Classification Analyst will perform
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contribute and succeed. Basic Qualifications PhD in data science, mathematics, physics, or engineering with a minimum of 8 years of relevant experience, or MS in these areas with a minimum of 12 years
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Basic Qualifications: A PhD in Mechanical Engineering, Computer Science, or a related field Published technical work in journal articles Presentation experience at conferences Preferred Qualifications
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Candidates must have a MS degree or PhD in Nuclear engineering, computer science
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another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a
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energy, science, and technology. Leveraging a 75+ year UT–ORNL collaboration, UT-ORII supports convergent research, joint institutes, interdisciplinary PhD programs, and leadership development