688 data "https:" "https:" "https:" "https:" "Inserm" positions at University of Sheffield
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, increased carbon dioxide, rainfall and snow regime change and how these impact the biodiversity of ecosystems, and the capacity of ecosystems to cycle carbon and nutrients (https://sites.google.com/a
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at the University of Sheffield. There will be many opportunities to collaborate with ongoing work in the lab. For more details see http://www.alisonewright.co.uk. Applicants are strongly encouraged to contact Dr
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experience. Desirable Interview/ Application Further Information Grade 2 Salary £23,061 to £23,350 pro rata, per annum. With the potential to progress to £23,742 pro rata, per annum, through sustained
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. Objectives – We will use observational, experimental and molecular genetic data of individually marked red-billed leiothrix (Leiothrix lutea), an invasive species in Iberia and potential recent colonist in
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or externally funded students only. References The Partridge group website can be found here: https://bmpartridge.wordpress.com/ View DetailsEmail EnquiryApply Online
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. Cyber-physical power systems deploy the latest information and communications technologies to enable the data and information flows across different entitles of physical networks. Such ‘cyber’ systems
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the University of Sheffield online application portal for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When completing your application, please specify Dr Marco Conte as
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-pathogen interaction using in vitro models and the zebrafish experimental model of infection. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
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, multiscale, high-fidelity simulations that emulate in real-time the state of a corresponding physical twin based on historical and real-time sensor data. The comparison of physical and virtual data throughout
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, passive scalar in flows and flows through porous media using OpenFoam. Highly Desirable Application/Interview Excellent data analysis skills, with experience post-processing large volumes of computational