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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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statistics and data analysis, bioinformatics, microbiology, and molecular biology. Interested candidates should send an email to Carla Taddei (crtaddei@usp.br ), a professor at ICB-USP and co-PI
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molecular biology techniques. Basic knowledge of statistical analysis and interpretation of biological data. First author of at least one scientific publication indexed in the ISI/Web of Science database
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PI: Jason M. Klusowski The Department of Operations Research & Financial Engineering (ORFE) invites applications for postdoctoral or more senior research associate positions broadly in statistics
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. Good experience in data analysis, knowledge of statistical techniques for high energy physics ex-periments, and an interest in detector development are required. Previous experience with the analysis
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, statistical and case of study of switchbacks. Comparaisons with synthetic observations from the dedicated simulations of the JET2SB project. 2) Collaboration with the local LPC2E team, as well as the full
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repetitive ischemia surgery. Develop and maintain detailed records of experiments to back the original data. Analyze data with statistical tools and writing findings narrative reports as appropriate. Present
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required, along with a strong theoretical or practical background in coral physiology, isotope biogeochemistry, image analysis, univariate and multivariate statistics, and advance scuba training (minimum
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, PRS, pathway analysis, or Mendelian randomization) and statistical analyses in R or Python; the candidate must have programming skills, ability to handle large datasets, experience in scientific
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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify