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. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your
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well as artificial intelligence and machine learning techniques (AI/ML) with emphasis on electronic properties (charge and spin) of a range of materials important to the DOE mission, including the materials classes
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well with a diversity of faculty, staff, and students from a variety of disciplines within and outside the University. Excellent computer skills, including Excel and Word, and the ability to learn new
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. Proficient in oral presentation and paper/grant writing. Certificates/Credentials/Licenses PhD in Biomedical Science, Immunology, Regenerative Medicine, Biology of Aging, or a related field. Computer Skills
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are seeking applications from individuals with a PhD in any one area of engineering such as: aerospace, chemical, civil and environmental, computer science and software, electrical and computer, industrial and
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Apply Now Job ID JR101405Date posted 09/12/2024 The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates
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other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Learn about NREL’s critical
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into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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internationally within your field of research. Dissemination of your research to the outside world through scientific publications. Your profile Applicants should hold a PhD in chemistry/physics/materials science