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detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in
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combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough
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Outlook Preferred Other Computer Applications: Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/95772
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methods for providing custodial and general maintenance services. Implements policies and procedures. Participates in preparation and administration of custodial budgets. Submits budget recommendations
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common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications 2-4 years
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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: Trains new hires. Performs other duties as assigned and/or required that are within the level of responsibility for this classification at the discretion of the supervisor. Equipment Operated: Computer and
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, professional and/or industry standards and practices. Knowledge of applicable laws, rules, regulations and/or policies and procedures. Knowledge of applicable measurement and/or sampling methods and technologies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
Vacancy ID P020868 Full-time/Part-time Permanent/Time-Limited Full-Time Time-Limited If time-limited, estimated duration of appointment 3-Years Hours per week 40 Work Schedule Monday–Friday, 9:00 a.m. – 5
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be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth