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infrastructure. You will be joining the Networks and Analytics (NAN) research group, which focuses on research and innovation in developing and applying internet technology across a wide selection of fields in
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by their release or secretion directly in PET-contaminated environments. However, this approach is labour-intensive, expensive, inefficient and can lead to contamination with bacterial endotoxins. In
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epigenetic mechanisms of cellular aging, resilience, and fibrosis. Responsibilities Develop and implement analytical pipelines for large-scale single-cell, spatial, and multi-omics data integration Build and
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to gain experience in cross-sector research collaborations and serving as a platform for a future research career in academia, hospital, or industry. Your role You will lead SIF project work package 2
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. The ability and willingness to share and discuss results from the project with both scientists and relevant industrial partners Strong analytical skills and ability to work independently and with
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. As an employee in the Turbine Response section, you are expected to be fluent in aeroelastic simulations, data science and analytics and have a solid knowledge of turbulence-turbine interactions
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considered an advantage if you have: been working on Arctic contaminants. been on field work in Greenland or other Arctic regions. experience with analytical instruments like ICP-MS, MC-ICP-MS and/or GC-IRMS
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worldwide (including observations, interviews, and focus groups), and contribute to participatory action research with stakeholders Contribute to literature reviews and the development of analytical
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, or in information quality for decision-making. Are skilled in quantitative analytical methods, and ideally have some experience with simulation techniques. Research tasks Review and assess technologies
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projects on gene regulatory mechanisms that contribute to the development and disease Support research and development activities within the group Maintain accurate and detailed records of research