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Field
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to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which requires presence at multiple locations throughout
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
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are required. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio Grande Valley. Other This is a trainee position subject to a specific time as agreed to by
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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
on the Carbon Governance in Southeast Asia (CGSEA ) project. The position is available on a full-time basis for one year in the first instance, with the possibility of extension dependent on performance and the
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mapping to join our team developing decision support systems for improved schistosomiasis control during water infrastructure projects. About the Role Schistosomiasis often spreads in areas with water
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able to successfully perform all required duties. Office/research environment; some travel and weekend work are required. UTRGV is a distributed institution, which requires presence at multiple locations
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contribute to cargo selectivity. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist
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. Office/research environment; some travel and weekend work are required. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio Grande Valley. Other This is a
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PhD or equivalent professional qualifications and experience will be in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing