200 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Hong Kong" positions at University of New Hampshire
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orientation, gender identity or expression, disability, genetic information, veteran status, or marital status. The pay range for this position is listed above. Actual offer will be based on skills
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research activities. The position works closely with Principal Investigators (PIs), with a focus on decision-making ability and analytical skills ensuring that PIs have accurate and timely information
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communication skills. Capable of establishing and maintaining effective working relationships within a team. Experience with electronic health records and basic computer skills. Experience or specialization in
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/electrical knowledge, including the ability to read schematics and use multimeters and related test equipment. Basic computer programming skills, and the ability to learn new software used in control and data
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drivers license and safe driving record are required. Position Number: Adjunct Salary Information: Hourly FTE: .5 Compensation Pay Range: $15.50 Required Documents: Resume This is an evergreen posting
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Contact Information for 3 Professional References This is an evergreen posting. While there may not be an immediate opening, we regularly hire for this position throughout the year. Applications
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individualized improvement plans for pitchers Emphasize arm care, throwing programs, and long-term pitcher health Utilize video, data, and feedback tools to enhance development when available Assist pitchers with
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. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
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. The appointment will be for two years, pending satisfactory performance in annual reviews. For more information, prospective applicants are welcome to contact Prof. Chanda Prescod-Weinstein at chanda.prescod
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inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is