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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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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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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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, 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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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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if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics. Jon Terje Hellren Hansen via Unsplash Jon Terje Hellren Hansen We offer Involvement