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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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degree (or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. A good knowledge and practical experience in molecular ecology, population genetics, and statistical and
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(or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. Solid knowledge and practical experience in molecular ecology, population genetics, and statistical and bioinformatic
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species and vegetation ecology), advanced statistical modelling using R software, and conducting fieldwork under harsh environmental conditions. A successful applicant should have good skills in English and
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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techniques to map gene regulatory networks (e.g. ChIP-seq, RNA-seq) and statistical approaches to discover genotype-phenotype associations (e.g. GWAS, random forest) in common-garden and aquaculture
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statistics. Jon Terje Hellren Hansen via Unsplash Jon Terje Hellren Hansen We offer Involvement in an interesting research project Good career opportunities A good academic environment with dedicated
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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