54 phd-computational-neuroscience Postdoctoral positions at Oak Ridge National Laboratory
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://www.ornl.gov/content/research-integrity . Basic Qualifications: A PhD in condensed matter physics, material science, solid-state chemistry or a related field completed within the last five years. Preferred
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manufacturing (AM) processes. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science
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and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning and memory; multi-agent collaboration. Scientific Reasoning: Program/path
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Requisition Id 15305 Overview: The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate
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, health, and quality program requirements. Maintain a strong commitment to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities, and
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safety at ORNL and DOE sites. This position resides in the Performance Engineering group in the Data and AI Systems Section in Computer Science and Mathematics division within Computing and Computational
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a PhD in chemical engineering, nuclear engineering, or another relevant field. Experience in designing and conducting high temperature experiments for property characterization, high temperature
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science, computer science, computer engineering, electrical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations
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at national scientific meetings Ensure compliance with environment, safety, health, and quality program requirements Take a position of leadership for day-to-day laboratory operations Participate in project
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science