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program focuses on translational, laboratory-based, and mechanistic studies aimed at understanding how host-microbe interactions impact conditions such as recurrent urinary tract infections (rUTIs) and
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, bibliographies, cartography, and remote sensing data, and analysing these in comparison with newly collected field data. Producing databases, reports, drawings, maps, and digital models of landscapes and
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postdoctoral fellow interested in gaining trainingand experience in disease modelling and translational science. The successful candidatewill lead collaborative efforts among basic and clinical researchers and
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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of the research project(s), including design, fabrication, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles. Conduct optical
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the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
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qualification is required at time of hire. Required Qualifications Completed Ph.D. in Ecosystem or Landscape Ecology (or related field such as ecosystem modeling, biogeochemistry, or climate change ecology
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-specific needs, but include: site evaluations or modeling, project coordination, interviews, data collection and/or analysis. Connections to professional practice and to emerging technology and ideas in
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Description As part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to relocate seismicity and to provide subsurface velocity models and geo