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based on observed dynamics, and to link these processes to evolutionary dynamics. To this end, we plan to adapt multivariate autoregressive models for density-class data, whilst paying particular
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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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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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cereals. The field experiments will generate multivariate data and you are expected to conduct statistical analyses and interpretations of the data based on scientific literature and theoretical frameworks
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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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Position Details Position Information Job Title Postdoctoral Scholar Position Number CHHS-KINE-PDS-09-26 Vacancy Open to All Candidates Department AAH CHHS Kinesiology Department Homepage https
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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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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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for scientific dissemination and publication. Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu