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Field
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to student success and academic quality. Leads efforts to identify, engage, and mentor faculty champions and disciplinary experts to build a distributed network of pedagogical leadership across campus
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large-scale distributed computing systems (e.g. Edge, IoT), evidenced by involvement in several industry projects. Technical Experience: Exposure to Go, Python, Java or equivalent. Experience with
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. Qualifications and personal qualities: Applicants must hold a master's degree or equivalent education in Earth Science, Geography, Geoscience, Computer Science, or a related field. Master’s students can apply
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infrastructure. We welcome applications from passionate, skilled, and committed individuals. About the Role The spatial distribution of schistosomiasis coincides with development of certain water management
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About the PhD Research Fellow The fellowship will be for 3 years, with the possibility of a fourth year consisting of 25% compulsory work (e.g., teaching responsibilities at the department) distributed
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infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have previously been employed
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distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have previously been employed in a qualifying post (e.g
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, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have
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proposals for competitive funding agencies or organizations Works in the field gathering data -e.g., distributional data, measurements, species samples. Performs other job-related duties as assigned
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: Developing, testing, and analyzing research results through empirical and computation methods to support projects funded by federal agencies with background in metallurgy, materials, additive manufacturing