199 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"Brunel-University-London" positions in Norway
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, potentially including methods such as structural equation modelling Write at least 4 scientific articles as first author Communicate results in various national and international scientific journals and popular
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to: Work independently Work in a structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get involved and contribute constructively with feedback
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understanding the dynamical and structural effects of various peptides on both simplified and complex membrane systems. The project will entail a combination of computational and experimental work, both directly
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design in construction or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but
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interdisciplinary research teams Personal characteristics Working as a Postdoctoral fellow requires that you Work independently and as part of an interdisciplinary field Work structured, set goals and make plans
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defined as desired qualifications (the latter are placed in the module below): You must have a relevant Master's degree in either mineralogy, igneous/metamorphic petrology, structural geology or ore deposit
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research. A demonstrated knowledge of, and experience, working with qualitative methods. Personal skills Applicants must be able to work independently and in a structured manner. Applicants should possess
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technical designs for pumped storage plants. The main focus will be on the tailrace tunnel system and outlet structure (pumping intake), but the research includes the whole, overarching plant design
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of their master’s degree are also encouraged to apply. Personal qualities Personal characteristics work independently, but also participate in teamwork work in a structured way set goals and make plans to achieve
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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