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Field
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temperatures based on these predictions. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation Section (TACS) at the Center for Nanophase Materials Sciences (CNMS
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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, reproducibility, and scalable data understanding Position Requirements PhD completed within the last 0–5 years (or near completion) in Computer Science, Computational Science, Visualization, Human–Computer
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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– in how we treat one another, work together, and measure success. Basic Qualifications: PhD (completed by start date) in plant ecophysiology, plant biology, ecology, Earth system science, or related
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experience, are good at tasks, have good time management skills, and have strong communication skills. Minimum Education and/or Work Experience M.D. or PhD Required Qualifications A qualified candidate must
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, and managing all professional and technical staff; and supervising students. Qualifications: Mandatory: PhD in Computer Science or similar field; At least one (1) publications as first/second author in
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/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one
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successful completion of a background check. A drug screen or physical may be required during the post offer process. Additional Information: Job Requirements: Required: PhD in computer science, biomedical
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intelligence methods (ML/AI) for diverse biological data in relation to cardiovascular and neurodegenerative diseases. The specific areas of methodological research can be flexible, depending on the candidate’s