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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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study data from various platforms and develop data dictionaries; 6) Oversee/supervise and/or conduct primary statistical analyses, including multivariate and longitudinal data analyses; 7) develop
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, published in the Diário da República, 1st series, No. 157, of August 16, 2018. For more information about this, we suggest consulting the DGES portal (http://www.dges.gov.pt ). Its submission may be waived
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descriptive and inferential statistical analyses, including both univariate and multivariable techniques, for investigational study data from faculty and trainees * Customize and test data collection tools
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experience in electrochemistry, or environmental engineering and water technology. Experience with multivariate data analysis, statistics, machine learning, numerical simulations, and programming. Skills in
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Elimination (CCHE), the Kersten Institute for Urban Education, and the Center for Climate, Health, and Society (CHAS),. More information may be found at https://crownschool.uchicago.edu/. For 35 years
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multivariate analyses, and Community Based Participatory Research. Established productivity as lead author on articles published in peer-reviewed journals Experience recruiting and working collaboratively with
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Math for Management Multivariable Calculus Pre-Calculus Statistics Introduction to Statistics Other Mathematics or Statistics Course or Subject Areas (please specify in your cover letter or teaching
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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-10, CPT/HCPCS, DRG, CCS, NDC, NPPES, and SNOWMED. • Demonstrated understanding of parametric and non-parametric bivariate and multivariate statistical analyses, including descriptive