724 computer-science-intern "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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50% in the last year and secured more than £1.2M in new grant funding. We currently lead four major international networks involving prestigious partners like Stanford, Yale, and the Weizmann Institute
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, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
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competitive research grants from national and international funders. Contribute to the research profile of the Florey Institute of Infection and the Sheffield NIHR BRC by developing and leading programmes
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equivalent postdoctoral level work experience) in developmental biology field, and must have significant experience in the use of the chick model organism at early stages of development, as well as molecular
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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 the proposed supervisor and
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Desired skills We are seeking a motivated and ambitious PhD candidate with a strong background in signal processing, biomedical/mechanical engineering, computer science, or equivalent. Experience in human
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training in stem cell biology (culture), molecular techniques (qPCR, RNAseq), imaging (confocal microscopy), and genetics (conditional knockout mouse lines). Science Graduate School As a PhD student in one
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applicants with previous training in ecology, agriculture or computer science. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self
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and computational techniques to investigate how splicing might affect RNA stability dynamics across development. You will use CRISPR engineered cell lines carrying degron tags for key proteins
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. This project will utilise a combination of molecular and cell biology approaches, microbiology and advanced quantitative proteomic methods. ZDHHC5 knockout cells will be used to study the perturbed cell surface