130 machine-learning-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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Postdoc Research Associate- Atomic-Resolution Optical Spectroscopies w/Scanning Tunneling Microscopy
of solid-state single-photon sources such as color centers in hexagonal boron nitride (hBN) and other low-dimensional materials Learn how to operate an existing cryogenic multi-probe STM to develop nanoscale
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teams. Ability to manage multiple priorities and work effectively in a fast-paced, high-security environment. Proactive mentality with a commitment to continuous learning and improvement in the rapidly
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large-scale process systems. Must have excellent written and verbal communication skills. Must be willing to learn new skills and train others. Preferred Qualifications: Experience working in a clean
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). This includes designing and integrating strategies that empower teams to learn from success and setbacks, drive operations excellence, and strengthen resilience at every level. HOP principles and tools into daily
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another, work together, and measure success. Basic Qualifications: A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a
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the following areas are required: 1) wetland science; 2) hurricane science; 3) remote sensing; 4) deep learning and AI, 5) high-performance computing. Experience using AI models is required; experience
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. Strong programming skills. Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow. Preferred Qualifications: Expertise in vision transformer or large language model. Expertise in
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. The selected candidate will learn and then focus on one or more of the following analytic or raw reporting functions: Threat Analysis (assess and communicate real-time analytic judgments), Collection Management
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where learning never stops. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity
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Improvement: Identify opportunities for process improvements and innovation within project management practices. Lead lessons learned sessions and implement best practices to enhance future project performance