551 evolution "https:" "https:" "https:" "https:" "https:" "https:" "BioData" positions at University of Sheffield
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at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is
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to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the University of Sheffield but should note that
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. Funding Notes Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Applicants can also apply for a scholarship from the University
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of materials (e.g., DSC, mechanical testing). Excellent experimental, analytical, and communication skills. How to Apply Please submit your CV, academic transcripts, via the portal at https://sheffield.ac.uk
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, with an active programme of seminars and a journal club. Funding Notes This project is for Self-funded students or students with external funding. References https://gravity
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-funding, however, it other grant funding may arise such applications will also be considered. References For further reading see e.g., De Pontieu, Erdelyi and James, Nature 430, pages 536–539 (2004) https
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students or students who have secured external funding. References https://onlinelibrary.wiley.com/doi/full/10.1002/anie.202213692 View DetailsEmail EnquiryApply Online
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externally funded research projects, collaborated with more than 125 external partners, and received grants from 39 funders. Our expertise include database development, computational ontologies, natural
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, exploring the challenges and solutions (technical, economic, social, and regulatory) needed to speed up the development of the latest generations of low carbon district heating. A finality of the PhD is to
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, collaborated with more than 125 external partners, and received grants from 39 funders. Our expertise include database development, computational ontologies, natural language processing, computational