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system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer
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in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale to enable
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: PhD in
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). On-sensor data processing demonstration with hardware prototypes. Potential involvement in beam tests or radiation-source laboratory setups. Basic Qualifications: Ph.D. in Physics, Electrical Engineering
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engineering, architecture, architectural engineering, or related field completed within the last five years. Experience in building energy modeling and analysis. Deep understanding of building thermal physics
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crystallization reactions. Present and report research results and publish scientific findings in peer-reviewed journals in a timely manner. Ensure compliance with environmental, safety, health and quality program
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resources. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner. Ensure compliance program requirements for environmental, safety, health, and
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
in the project. Report and publish scientific results in peer-reviewed journals in a timely manner. Present results at international scientific conferences and meetings. Deliver ORNL’s mission by
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD degree in physics or related discipline completed within the last five years