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Field
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, remote sensing observations, and prediction and valuation of forest functions, providing a holistic view on forests as complex systems. See the project website to find out more about the FORFUS doctoral
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Project details: Surface features are important in additively manufactured parts. While additive manufacturing technology has made great strides in the realisation of complex shapes, topologies and
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strong interest in animal behaviour and insect ecology. Specific requirements are: Strong analytical and quantitative skills, with the ability to work with complex behavioral datasets Proficiency in
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Chemical Engineering and demonstrate a proven track record of applying CFD methodologies to complex biological or medical systems. Essential Duties and Responsibilities: Lead and execute advanced CFD
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are considered a key ingredient in the complex mechanisms of solar wind generation. Solar jets, very commonly observed phenomena in the solar atmosphere and occurring over a wide range of spatial and temporal
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species, the PhD student selected for this project will investigate unanswered questions on how complex behavioural phenotypes and social systems develop and evolve. Specifically, the project will focus
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, and scenario analysis techniques to provide support for strategic decision-making and inform policy. The candidate will identify the existing data gaps in quantifying flood risk and explore best
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the exploitation of open-source software platform specifically designed for the analysis and interpretation of metaproteomics data Attending a one-month secondment to learn about colon cancer, immunotherapy, dietary
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skills required for leading first-author papers. Excellent organizational, leadership, and interpersonal skills. Excellent communication skills, capable of articulating complex information to diverse
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long-term experiments. Your profile The candidate must have a PhD degree in silviculture and/or forest management or a very similar subject. The candidate must have proven experience in data analysis and