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based within the Supporting Transition and Employment Pathways Research Lab (STEP; https://step-lab.ssw.umich.edu/ ), an interdisciplinary research group dedicated to advancing disability inclusion by
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hybrid basis, meaning the role holder will spend part of their working week on campus and the remainder working remotely. Information on the Department of Mathematics and the Faculty of Natural
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an additional amount elevating to $25/hr Job Closing Date Remote/Hybrid eligibility: Review of applications will occur as openings become available. Candidates will be selected for temporary employment in various
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, and water samples. Measuring and recording plant growth (both physical and with remote sensing tools.) General field work and plot maintenance. Evaluation of plots and sample processing. Assisting with
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world. AWI-affiliated researchers specialize in water security and quality, remote sensing, hydrologic and hydraulic modeling, and watershed management through synergies with AWI research programs, including
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for those seeking a hybrid or remote employment opportunity. This individual reports directly to the Department Administrator/COO for the Department of Psychiatry and will work closely with other Director
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., Monday and Tuesday 9:00 a.m.-2:00 p.m., Friday 11:30 a. m - 5 p. m ? Saturday 9:00 a.m.-1:00 p.m., Monday 2:30 p.m.- 7:00 p.m., Tuesday and Thursday 1:30 p.m.-7:00 p.m. Remote Eligible: This position is
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
Qualifications The applicant should have a background in astronomy, planetary science, or Earth science, especially including astronomical image analysis from telescope or remote sensing data. Experience with
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tremor assessment tools that can capture tremor severity, tremor subtype, and medication response in real-world settings, supporting future integration into NHS remote monitoring pathways. Main Duties and
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hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical modelling