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from radio frequencies to optical wavelengths. A substantial part of the research activities will involve data processing, primarily using multivariate statistical techniques, aimed at developing models
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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, or quantitative methods Experience with advanced statistical methods (e.g., multivariate regression, latent class/profile analysis, structural equation modeling, factor analysis, canonical correlation analysis
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practices. Optimization & Testing: Analyze user journeys, conversion funnels, and engagement metrics. Design and execute A/B and multivariate tests to continually elevate website performance and user
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execution of consumer surveys assessing Singapore consumers' acceptance of foods and beverages. Perform principal component analysis (PCA) and multivariate statistics to identify relationships between
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aligned with 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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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 months ago
the life sciences Expertise with a wide range of modern statistical modelling and multivariate analysis methods Sound experience with statistical software (preferably R) Fluency in both written and spoken
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, dimension reduction, pathway analysis, survival analysis, and multivariable modeling. Strong analytical, organizational, and problem-solving skills. Ability to work independently while contributing
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estimation using histological and/or imaging techniques. Population genetic analyses to identify ecotypes and subpopulations. Multivariate statistical analysis of health and ecological data. Scientific