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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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pathogens such as Alternaria, Cladosporium, Mucor, or Penicillium is a plus. Applied research skills — Strong understanding of applied research, including experimental design, data collection, data analysis
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, TD-GC–MS, LC–MS, or other comparable advanced analytical platforms; Demonstrated skills in the collection and interpretation (including statistical analysis) of high resolution mass spectrometric data
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environmental conditions, preparation and processing of biological samples, and analysis of ecological data using statistical and modeling approaches in R. Emphasis will be placed on building your analytical
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variety of meteorological and snowpack sensors. Learn to document avalanche activity and environmental conditions using standardized protocols. Data Analysis and Modeling Train to process and analyze
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such as systematic literature review, study design exploration, and analysis of environmental health and exposure data related to microplastics, nanoplastics, and associated chemical contaminants
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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of food chemistry, sensory analysis, food microbiology/food safety, and food engineering Experience in designing, running, and evaluating data from descriptive or consumer sensory panels for food evaluation
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, testing, and data analysis, working in both laboratory and field settings, including ground and airborne campaigns. We are seeking candidates with a strong background in laboratory instrumentation, radar