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properly. Please turn on JavaScript in your browser and try again. 13th June 2025 Languages English English English PhD candidate in Statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE
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statistical inference, optimisation, microeconomics, scientific methods Elective courses in economics, finance, or optimisation Management Science Dissertation on a topic in logistics, operations management
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in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python, or similar programming languages (or strong skills in another statistics software) Knowledge about
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, or similar programming languages (or strong skills in another statistics software) Knowledge about the endocannabinoid system, stress responses, post-operative outcomes or psychopharmacology Excellent
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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Administration NAV. Prognostic factors for long-term effects on health and welfare will also be explored. The PhD candidate will be in charge of cleaning, linking and statistically analysing data from the various
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to metocean statistics and development of software packages related to the generation of said statistics. This work amounts to 25% (one year) of the total project period and allows the PhD project to run over a
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state-of-the-art skills in health statistics and data analysis. The study focuses on enhancing the interpretability and precision of NF scores by developing normative ranges and clinical thresholds
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, statistical physics, optics, atmospheric physics, university didactics and astro-particle physics. The department is also since 2017 the hosting institution of two national centers of excellence - PoreLab and
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. Excellent written and spoken English It would be advantageous for applicants to have Experimental experience with nanoparticulate formulations Experience of statistical and/or machine learning methods