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- 65 Work Hours: Varies based on course schedule Remote Eligible: This position is not eligible for remote work Special Instructions to Applicant: This is a pooled posting utilized to hire adjunct
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: No Compensation Details: Starting Pay - $62,600; Commensurate with education and experience Work Hours: Monday - Friday 8am - 5pm Remote Eligible: This position is eligible for remote work Special Instructions
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Master's degree in Earth Sciences, Geography, Physics, Environmental Sciences, Meteorology, or a related field. Passion for atmospheric remote sensing, chemical transport modelling, and data science. Solid
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about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de Your responsibilities include: Research and development in the field of software engineering for dependable and safe
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Innovations Institute are fully remote with expected travel to UConn?s Hartford Campus once a year at the employee?s expense. DUTIES AND RESPONSIBILITIES Provides general office support, including monitoring
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, integration, and validation for environmental and forest monitoring. Familiarity with remote sensing, cartography, and spatial data analysis using specialized software and tools will be considered a significant
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directed by supervisor Remote/Telecommuting Hybrid (part-time working on site, part-time working off-site) Position Summary Serves as a budgetary accounting resource responsible for managing and maintaining
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. Applicants with experience in forest or wildlife habitat classification using remotely sensed data will receive special consideration. Duties (%) 10% With oversight from the project Principle Investigator
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and analysis activities using regulatory monitoring networks, mobile and stationary monitoring platforms, distributed sensor networks, and remote sensing tools. In addition, the appointee will develop
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and is not eligible for remote work. Qualifications: The Video Producer must have: Bachelor's degree 3-5 years of video & multimedia production experience Experience in post-production, including visual