36 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at Oak Ridge National Laboratory
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Mechanical Engineering, Nuclear Engineering, Physics, or a closely related
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models. Developing mathematical analysis to bound the trade-off between performance, energy efficiency and time especially in the context of large AI models. Contribute to the research and development
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Requisition Id 15094 Overview: Oak Ridge National Laboratory is seeking a Postdoctoral Research Associate who will focus on material property testing, analysis, and modeling of reactor isotope
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modeling. Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in theoretical or computational chemistry
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Requisition Id 14907 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering
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techniques (such as, large language models) in the neutron powder diffraction data life cycle. This work will be conducted collaboratively with other scientists within the Neutron Scattering Division and
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completed a PhD in chemistry, physics, engineering, or a related field within the last 5 years. Preferred Qualifications: Experience with electrocatalytic reaction engineering for organic waste streams