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bioassay sample analysis (LSC), thyroid survey (gamma). Radiation Safety Program Development Identifies areas where program improvements may be needed. Prepare draft procedure updates and revisions. Clinical
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politics, using, among others: Econometrics, field and survey experiments, and quasi-experimental causal inference methods, Natural language processing (NLP), and Comparative case studies As part of the ERC
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-referenced database containing all morpho-bathymetric, seismic-tigraphic, sedimentological data, and any physical-chemical parameters of water masses and sediments; conducting in-situ surveys and sampling
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project partners, selection of sites for field acoustic surveys, data management and analysis, developing field research protocols, and training and overseeing field staff. Must have experience in study
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growth of seedlings and trees, but may also include vegetation surveys and various types of sampling (water, gas, soil, vegetation, etc.). Fertilization, marking, and the decommissioning/clearing
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immigrants living in the United States, helping shape the future of diaspora research through innovative sampling and data collection methods. Be Bold. The Survey Manager will oversee the implementation of a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 18 hours ago
part of the application (with required materials outlined below) as well as strong letters of reference. The writing sample, teaching dossier, and letters of reference, should give evidence of excellent
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beginning in 2008 (see synopsis https://www.dlsph.utoronto.ca/about/ ). The DLSPH is an internationally recognized community of scientists, teachers, students, practitioners, policy makers and citizens
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/societal benefit, and gathering indicators of esteem. 4. Survey the research literature and environment, understand the research challenges associated with the project & subject area, and develop
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, including error detection, noise filtering, class balancing, and duplicate removal. 2-Select and study real-world datasets with common issues (e.g., class imbalance, mislabeled samples, incomplete data). 3