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well as assisting in developing new research programs in radiation dosimetry. Environmental Sciences Division is an interdisciplinary research and development organization with over 60 years of achievement in local
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technical application spaces and leading a group of 8-12 researchers within MSA. Special emphasis and focus is towards the research, development, and demonstration of advanced image/signal processing, machine
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sustainable hydropower development, environmental compliance, and energy–ecosystem decision making. Environmental Sciences Division is an interdisciplinary research and development organization with over 60
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, development, and deployment. This is a unique opportunity to be part of executing projects that will enable next generation nuclear energy, both fusion and fission. As the Project Manager, you will play a
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in urban-scale building energy modeling, software development (esp. Python), or Artificial Intelligence/Machine Learning (AI/ML) Strong ideation, writing, and communication skills for establishing
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National Laboratory (ORNL). This role will focus on the development and implementation of novel robotic construction workflows, human-machine collaboration strategies, and automated manufacturing platforms
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challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. We have a collaborative environment focusing on designing
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Directorate. In this role, you will lead the development and application of physics-informed data science and machine learning approaches to support nuclear nonproliferation missions. The successful candidate
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and analysis techniques to support these experimental efforts. Contribute to the development of ML/AI tools for nuclear physics and nuclear data applications. Publish papers, reports, and act as
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Section, Nuclear Energy and Fuel Cycle Division at ORNL is seeking candidates to apply for the computational nuclear engineer role. This role is responsible for the development and implementation of methods