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Full Time, Term position ending June 30, 2028. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning
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staff teams and within curricular and support services that are provided to students, Faculty, and community collaborators. Ability to learn new software and assessment-related programs. Ability
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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shared laboratory space and a novel Immersion Laboratory for computer-assisted participatory research. The successful candidate will also have access to extensive computational resources, including
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datasets, including time-series analysis and machine learning applications. Use spatial statistical tools to relate remote sensing and in-situ observations. Proficiency in geospatial software platforms
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At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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. They also present challenges: New types of data, (e.g., from DNA testing) may increase risk to privacy. For machine learning and artificial intelligence to work properly, data needs to be centralized
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-on learning, and cross-disciplinary collaboration. The ideal candidate will possess experience in areas such as physical hydrology, stormwater management and analysis, geomatics or spatial sciences, earth