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have been awarded at the latest by the point at which LiU makes its decision to employ you. You have the following experience and knowledge (requirements): to work with large register-based data sets
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advanced models for genomic selection to improve breeding programs in plant and animal breeding. You will analyze genetic data: Use bioinformatic and genomic methods to process and interpret large-scale
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that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new
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life factors associated with diabetes risk. You will primarily work with the analysis of large-scale data together with clinical data. Analysis of transcriptomic data to identify genes important for type
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large databases is required. The candidate is expected to partake in design of the epidemiological studies, statistical work (SPSS but also other programs such as R), presentations and preparation
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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should hold a Master's degree or equivalent in climate or environmental science, ecology, biology, geography, or a related field. Due to the large datasets that will need to be handled from the beginning
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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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on collating and analyzing the large volumes of carbon cycle data gathered from the site to date, then preparing the resulting analyses for publication in scientific journals. Likely topics for papers include
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large