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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The University of New Hampshire is seeking an Hourly Research Assistant to help staff with analysis of MMS data. Duties
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Posting Description PREDOCTORAL RESEARCHER,Economics (2 positions), to join the research team of Professor Amy Finkelstein. Responsibilities include working with data sets, cleaning and running
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uses observational field data, experimental data, and field experiments. Salary is $68,000 annually, plus benefits. Expected start date is mid-June 2026. Visa sponsorship is available. For examples
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locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
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Chemistry. To apply, submit a cover letter, CV, and contact information for two references to lee.thompson.1@louisville.edu . Screening of applicants will continue until the position is filled. Compensation
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a cover letter, curriculum vitae, bibliography, a brief statement of research interests, publication list, and provide contact information for three references. Letters of recommendation will also be
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. This work will involve the design of innovative techniques to analyze and model novel, high-dimensional and/or multimodal data in biobehavioral disorders and high-profile social problems such as suicide and
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to apply. Required Attachments by Candidate: 1. Cover Letter that describes fit within research center and college 2. Research Statement describing short- and medium-term academic goals 3. Contact
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thermal systems. Experience on thermal system performance and technoeconomic analysis. Familiar with laboratory works, testing instrumentation, and software such as LabView for data acquisition and control
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Responsibilities : Partner with the PSIX Director and Senior Research Associate to execute PSiX’s research vision and strategy. Collect, analyze, and integrate qualitative and/or quantitative data, e.g., through