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to investigate heat transfer and pressure loss, as well as analysis of experimental data and the use of these for model validation. Building or modifying flow loops with instrumentation arrangement may also be
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valves and blood for further analysis. If successful, in establishing this model and reliably inducing IE, the next step will be to investigate other pathogens, such as Streptococcus and Enterococcus
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researcher to work at the interface of statistical data analysis, population-based research, and precision medicine in neurodegenerative disorders. The ResiliDem project aims to identify resilience and risk
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diagnostics extracted from the simulations. Further details about the project can be found here . The successful candidate will contribute to the main goals of the project, with emphasis on data analysis and
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Qualifications Required qualifications: PhD in Social, Cultural, Visual Anthropology or closely related discipline. If you’re at the final stages of your PhD, you may still apply if you have submitted your PhD
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Postdoctoral Fellow in Anthropology: Meat, Infrastructure, and Zoonotic Risk on Chinas Belt and Road
, UiT -The Arctic University of Norway email: rita.johansen@uit.no via Unsplash Qualifications Required qualifications PhD in Social, Cultural, Visual Anthropology or closely related discipline. If you’re
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Industry-related Challenges financed by FFL/JA and The Research Council of Norway, entitled “Advancing Livestock Reproduction for Sustainable Breeding Through Integrative Functional Analysis of Gametes
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the possibility of a 4th year with career-promoting work (e.g. teaching at the Department). The position is funded by the University of Bergen. About the project/work tasks: Geochemical analysis of sediments
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Unsplash Qualification requirements We looking for applicants with a completed five-year Master degree within an interdisciplinary master programme such as Societal Safety, Risk Analysis, Sustainability
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for applicants with a strong academic background who have completed a five-year master degree within risk science (risk analysis, risk management), preferably acquired recently; or who possess corresponding