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manufacturing, process physics, and/or metallurgy to interpret sensor data in a materials science context. An excellent record of productive and creative research demonstrated by publications in peer-reviewed
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evaluate applications based on candidate excellence and relevance of the proposed research topic. ● Proposed Seaborg Researcher research project ○ Creativity and innovation ○ Impact on program’s mission
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spectrometry, etc. An excellent track record of productive and creative research demonstrated by publications in peer-reviewed journals. Excellent written, oral, and interpersonal skills, as well as the ability
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. Strong record of productive and creative research, demonstrated by publications in peer-reviewed journals, presentations at scientific conferences, and code or data releases. Willingness and enthusiasm
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. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function
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and programmatic needs. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across
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to work independently and to participate creatively in collaborative teams across the laboratory. Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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communication skills. Motivated self-starter with the ability to work independently and participate creatively in collaborative teams. Ability to function well in a fast-paced research environment, set priorities
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independently and to participate creatively in collaborative teams across the laboratory Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines
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productive and creative research, demonstrated by peer-reviewed publications and conference presentations. Preferred Qualifications: Hands-on experience with ML/AI frameworks (PyTorch, TensorFlow