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for Alzheimer’s disease and related dementias. Develop, adapt, and implement statistical and analytical methods tailored to complex population-based and longitudinal data, including method development
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial
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cohort data to study why diagnoses are rising, who receives assessment and support, which supports work best for whom, and how support systems can become more equitable and inclusive. The postdoc position
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-analytical capabilities for oxygen and carbon isotope analysis on carbonates. This development can be used to fill critical knowledge gaps in our understanding of past climate and ocean circulation which have
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, open sharing of analytic code, or involvement with registered reports) Experience using structural equation modelling to investigate patterns of covariation in observational data Experience presenting
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Applicants must hold a master's degree or equivalent education in Statistics, Actuarial science or Data Analytics, or must have submitted his/her master's thesis for assessment prior to the application
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The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop
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13 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Pharmacological sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application
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for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial models or second-order meta