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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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for studies of ocean air-sea interaction, ocean circulation, and are widely used by operational numerical weather prediction forecast centers. However, recent studies have found that the wind estimates from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings
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, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications Bachelor’s degree in criminal
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offers a high quality of life with a supportive community, affordable living, beautiful natural surroundings, and numerous opportunities for personal and professional growth. This position is eligible
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existing climate model targets. The postdoctoral researcher will also conduct numerical glacier-climate modelling from GeoPAC2 project output. Salary: Postdoctoral Researcher salary scale €46,805 - €59,654
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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Theoretical Quantum Many-body Physics and Quantum Sensing at Indiana University Bloomington Fields: Quantum many-body theory, AMO–condensed matter interfaces, advanced numerical simulations, quantum sensing
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post office and a fantastic library. There are numerous clubs, groups and networks you can join to make friends with like-minded people. Lancaster University provides an environment that strongly
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: (i) the rarity of extreme events, which renders classical statistics inadequate; (ii) the uncertainty inherent in cascading effects; and (iii) the lack of confrontation between numerical models and