76 structures-"https:"-"https:"-"https:"-"BBMRI-ERIC" positions at Oak Ridge National Laboratory
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Laboratory (ORNL). As part of our team, you will investigate the atomic and electronic structures in energy and quantum materials and correlate them with relevant properties for energy and data storage
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(e.g., supervised/unsupervised learning, embeddings, model evaluation). Familiarity with structured data, metadata, or information retrieval concepts. Interest in applying AI/ML techniques to real-world
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information. Effective written and verbal communication skills. Analytical mindset with interest in workforce data and reporting. Ability to manage multiple priorities in a structured, deadline-driven
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with JSON and YAML data structures. Network Security knowledge, including familiarity with Zero Trust. Design, implement, and operate a multi-datacenter network. Familiarity with IPv6 implementations
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overall cognizance of assigned HFIR structures, systems, and components (SSCs) and provide systems engineering support for operations and maintenance. Major Duties/Responsibilities: Support engineering
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communication and coordination with the PMO. Developing and maintaining the project Work Breakdown Structure (WBS) and accompanying dictionary, along with logic-driven, resource-loaded schedules and detailed cost
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for extreme environments, with an emphasis at the intersection of fundamental materials science of radiation effects and defect-deformation interactions, fission and fusion structural materials, nuclear fuel
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, finite volume, and machine learning to solve challenging real-world problems related to structural materials and advanced manufacturing processes. The successful candidate will have experience with
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performance models. This position resides in the Materials Engineering Group in the Large-Scale Structures Section, Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory
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Requisition Id 15886 Overview: We are seeking an R&D Associate who will lead and execute research focused on processing–structure–property relationships, advanced manufacturing scale-up, and