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or related fields. · Familiarity with scientific research on the intersection of climate change, food production, biogeochemistry. · Experience with statistical and geospatial data analysis
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California State University, San Bernardino | San Bernardino, California | United States | 8 days ago
, environmental/spatial criminology and/or geospatial intelligence, quantitative methods. Ability to teach multiple courses across the following areas: Intelligence & Crime Analysis (data management, analytical
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: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/ Your role The successful candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with a specialisation in
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, and integrating geospatial and infrastructure datasets related to industrial facilities, manufacturing processes, water and wastewater systems, solid waste streams, agricultural production, energy
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on the environment and individuals’ or society’s relationship to the environment, and mentoring in the Yale’s non-degree online environmental data science certificate program, https://environment.yale.edu/certificates
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: https://www.ntu.edu.sg/ase We are seeking a highly motivated Research Fellow to join a research group led by Asst Prof Zeng Yiwen. The successful candidate will work on a multidisciplinary biodiversity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Workforce Landscape Assessment. This role will conduct descriptive and geospatial analyses, summarize findings, and support completion of deliverables. Minimum Education and Experience Requirements Bachelor’s
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fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us
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undergraduate programs. The library system provides access to millions of resources in various formats, including electronic, print, audio-visual, data and geospatial materials. UTL also boasts impressive
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in geospatial data analysis is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must have good written and