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: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years
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Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities
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and technology solutions for national security sponsors. Major Duties and Responsibilities: Lead and execute complex R&D efforts applying data science, machine learning, and statistical methods
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problems. Major Duties/Responsibilities: Perform processing and analysis on multimodal data streams, including RF, optical, and spectral signals Develop statistically defensible algorithms to identify and
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developing foundational statistical/AI/data-driven techniques for uncertainty quantification and visualization of complex, large-scale 2D/3D scientific data. Publishing research in leading peer-reviewed
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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in in condensed matter physics, theoretical physics, quantum information, or a closely related
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, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Earth science, geography, environmental modeling, environmental science, or a closely related field, and at least two years of post-PhD
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Computer
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, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years of aligned experience, with the last 2-3 three years in the AI/ML arena, is required for consideration
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in