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Field
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, statistical analyses (including multivariate approaches), and scientific writing. Mandatory requirements: PhD in physiology, ecology, neuroendocrinology, molecular biology, or related fields. Strong experience
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statistical techniques to analyse large datasets, e.g. multivariate statistical analyses / survival analysis - Recent, relevant experience of using statistical packages STATA or R to conduct reproducible
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biostatistics (survival analysis, multivariable regression). History of funding for pilot studies, travel awards, or distinction in conference presentations is a plus. Equipment Utilized Physical Demands and Work
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experimental design, modelling, programming, or multivariate data analysis, experience in process development and pilot-scale trials involving membrane and/or food processing technologies, experience
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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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Application deadline: 27. August 2026. The postdoc position is for 5 years and it is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The research is part of the ERC project on CrypticBenefits and
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
must have strong foundation in statistics, including multivariate statistical analysis and appropriate validation of quantitative models. The candidate must have experience working in Linux or Unix-based
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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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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