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this position is contingent upon availability of funding. Required Minimum Qualifications: Bachelor's degree and four (4) years of engineering or closely related research experience; OR master's degree and two (2
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, monitoring and training student/survey workers in the use of survey materials and technical data collection. Set an example for student/survey workers when conducting complex interviews and telephone surveys
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regarding your status within the process. In this account, you are able to track your applicant status in "My Applications". To be considered eligible for the position as an internal candidate, departmental
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of communication regarding your status within the process. In this account, you are able to track your applicant status in "My Applications". To be considered eligible for the position as an internal candidate
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Research Assistant to join their team of professionals. Duties to include: The Student Lead position provides the student employee with technical and managerial skills along with on-the-job experience that
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If you are a current Barnard College employee, please use the internal career site to apply for this position. Job: Graduate Student Mentor for the Barnard College Mellon-Mays Fellowship Program Job
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of research protocol, as appropriate to the position; may perform aspects of research protocol, as required, in accordance with specified program objectives. Maintains records of research activities, and
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is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to analyze ground magnetic field perturbations using machine learning techniques