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attachment. Main tasks Collect, compile, and analyze data to map the responses of plants and pollinators to climate change Participate in the development and adaptation of statistical models for analyzing
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applied to medical or population genomics or other omic demonstrate experience in analyzing large omic data be proficient in one programming language be able to work independently and in a structured manner
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Project Background: Why some people with multiple sclerosis (MS) experience faster changes in brain structures (neurodegeneration) than others? What genetic associations with brain regional
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quality and resilience scores for multiple pharmaceutical products and 2) perform research on the drivers of higher or lower quality risk and resilience. This is a large project with multiple research
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Professor Emma Ahlqvist, you will conduct research focused on cardiovascular disease and precision medicine in type 2 diabetes. We will use statistical and genetic approaches to analyze data from large
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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framework to enable meta-analysis of multiple large biobank datasets, all of this with the aim of increasing our sensitivity to unravel the complex genetic causes of disease and, in so doing, identify new
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these institutional arrangements influence public space outcomes such as accessibility, safety, social value, and sustainability. Key questions include: How can governance structures better coordinate the multiple
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management
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top predators in the North Sea. Key responsibilities: Analyse tracking data of seals and seabirds to investigate their foraging behaviour in relation to dynamic environmental variables, such as tidal