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hard work during the previous year. Preference given to student who has demonstrated academic effort/improvement during previous year. Financial need may be a consideration, but is not a requirement
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, attendance tracking, and educational goal development Maintain technical knowledge by engaging in opportunities to improve or increase skills Maintain time and effort documentation Post-test all eligible
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standards, and analyse breathing pattern data using Qualisys motion capture technology (Optoelectronic plethysmography). You will contribute to the day-to-day delivery of the project, participate in research
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creates the necessary conditions for a rewarding career. Job Summary The Gynecologic Cancer Initiative (GCI) is a province-wide effort to accelerate transformative research in the prevention, detection
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lab environments Recruiting and scheduling study participants Administering functional assessments Collecting and managing data from motion analysis or other clinical systems Keeping detailed records
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communication, or equipment tracking could compromise data integrity, affect participant compliance, or cause delays in research timelines. Work must be performed with attention to detail and in accordance with
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. Details of research project: Ataxia telangiectasia-like disorder (ATLD) is an inherited neurodegenerative disease with symptoms including jerky, uncoordinated movements, abnormal eye movements and speech
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, tissue blocks and digital histology image files; records and tracks specimen and file location, status and movement using established tracking systems Curates primary data for study cohorts, including
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
documents when applying online within the My Experience: Resume/Cover Letter section of your application: Resume/CV Applications that are missing any of the required items may not move forward
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. The anticipated start date will begin in the fall semester. Responsibilities* The student will develop methods that integrate motion-capture data, force/torque sensing, and task-level cues to estimate human intent