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of hire. The required degree must be in the fields of agricultural science, machine learning, remote sensing of environment, ecosystem analysis, micrometeorology, quantitative modeling, or relevant fields
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of hire. The required degree must be in the fields of agricultural science, machine learning, remote sensing of environment, ecosystem analysis, micrometeorology, quantitative modeling, or relevant fields
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that highlight the student experience, foster a sense of belonging, and strengthen the university’s reputation for excellence in student success, wellness, and inclusion. The position also is responsible
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, and stakeholder engagement efforts that highlight the student experience, foster a sense of belonging, and strengthen the university’s reputation for excellence in student success, wellness, and
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supervision of Dr. Narendra N. Das and will be associated with the Remote Sensing in Hydrology and Agriculture Laboratory (RSHAL). They will receive annual appointments for an expected three-year term
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, organizational, and team collaboration skills Desired Qualifications Experience working with large scale multi-environment trials Familiarity with environmental sensors, remote sensing, or IoT-based data
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-award grant administration or financial management in Geography, Remote Sensing & GIS, or related field. Strong understanding of compliance requirements and university financial systems. Excellent
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requires all staff to contribute toward a vision for success regardless of title or position within the organization. We strive to create a positive culture, access to resources, and a sense of belonging for
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seven-figure level. A track record of success leading a development operation; an approach to management that brings out the best in staff and yields pride, ownership, and a sense of team effort. Superior
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requires all staff to contribute toward a vision for success regardless of title or position within the organization. We strive to create a positive culture, access to resources, and a sense of belonging for