79 game-computer-postdoctoral Postdoctoral positions at Oak Ridge National Laboratory
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Requisition Id 16612 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced materials research focused on the development of non-ferrous (Aluminum, Nickel, Refractory) alloys
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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Requisition Id 16602 Overview: We are seeking a Postdoctoral Researcher who will focus on conducting, coordinating, and reporting complex research assignments related to advanced thermal and energy
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Requisition Id 16540 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory and artificial intelligence
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Requisition Id 16485 Overview: The Data and AI Systems Research Section within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral
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Requisition Id 16505 Overview: The Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is seeking an exceptional Postdoctoral Researcher to advance programming systems
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Requisition Id 16522 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced materials research focused on the development of cast, additively manufactured, and wrought
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Requisition Id 16647 Overview: We are seeking a postdoctoral research associate who will focus on the physics of nonequilibrium dynamics in many-body systems. This position resides in the Quantum
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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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motivated and talented postdoctoral research associate(s) to join our dynamic team. This role lies at the exciting intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI) at scale