107 postdoc-urban-planning positions at Oak Ridge National Laboratory in United States
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developing training agendas, interacting with energy experts, and manufacturing companies to coordinate training activities. Maintain in-person in-plant training and bootcamp databases. Develop monthly program
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Postdoc Research Associate - Machine Learning/NLP for PEM Fuel Cell & Electrolyzer Materials Develop
multidisciplinary team to innovate in electrocatalyst development, electrode design, and manufacturing processes. This role is based in the Department of Energy (DOE) Battery Manufacturing R&D Facility (BMF) at ORNL
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Requisition Id 13135 Overview: We are seeking a Conference Planning Specialist who will support the Conference & Travel Management Group in the Accounting Operations Division, Business Services
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broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. We are seeking a Senior Program Manager who will focus on leading
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Requisition Id 13179 Purpose: The Department of Energy Manufacturing Demonstration Facility and the Manufacturing Systems Design Group at the Oak Ridge National Laboratory (ORNL) are seeking a
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Requisition Id 13191 Overview: Oak Ridge National Laboratory (ORNL) seeks an experienced Work Planning & Control professional to support the Work/Project Planning and Control (WPPC) Management
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Program Office leads a large portfolio of applied research and development programs centered around additive manufacturing, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon
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. Participate in an inclusive work environment for a diverse community of users, staff, postdocs, and students. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of
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users, via participation in workshops, and mentoring students and postdocs. Ensure compliance with environment, safety, health, and quality program requirements, and foster an inclusive work environment
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physics modeling and simulation through novel methods and algorithm design for CPU and GPU architectures Interact effectively across organization structures with staff scientists and engineers and be