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. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon). Demonstrated
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equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A Ph.D. in material science, or closely related field with
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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ferroelectric and ferroelastic materials, under external stimuli such as electric fields, light, strain, and temperature. This position resides in the Data Nanonanalytics (DNA) Group within the Nanomaterials
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Mechanical Engineering or a related discipline completed within
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to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications
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meshes and accurate solutions to complex problems. What does our ideal teammate look like and what will you be doing? In this role, you will be responsible for working with subject matter experts
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Qualifications: PhD in chemistry, physics, computer science, materials science, or a related field with no more than five years of postdoctoral experience Preferred Qualifications: Experience in energy‑storage
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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another, work together, and measure success. Basic Qualifications: A Ph.D. degree in electrical engineering, or related discipline completed within the last five years. Expertise in power systems and power