76 postdoc-computational-biomedical-engineering Postdoctoral positions at Oak Ridge National Laboratory
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, electrical engineering, computer engineering, computer science, aerospace engineering, or a closely related field obtained in the last five years. Demonstrated experience developing robotic systems using ROS 2
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, engineering, computing, and environmental sciences to address complex scientific challenges and accelerate the translation of discoveries into real‑world solutions. As a Postdoctoral Research Associate, you
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challenges facing the nation. The Computational Coupled Physics (CCP) Group within the Computational Sciences and Engineering Division (CSED), at Oak Ridge National Laboratory (ORNL) is seeking a Postdoctoral
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mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field Demonstrated experience with multimodal
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professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage
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temperatures based on these predictions. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation Section (TACS) at the Center for Nanophase Materials Sciences (CNMS
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. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon). Demonstrated
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algorithms at scale on ORNL's computational resources, including the Frontier supercomputer, addressing critical challenges in science and engineering. Communicate and coordinate experimental results with
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Requisition Id 16736 Overview: We are seeking a Postdoctoral Research Associate who will work with a multi-disciplinary group of experts in economics, engineering, software development, and building
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely