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), computation (bioinformatics, machine learning, statistical analysis), working with animals (radio-tracking, animal handling/sampling), and deep knowledge of evolutionary biology and gerontology. The Norwich
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degree or a Master’s programme and/or have worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be considered
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the laboratory of Dr. Phil Carella, located in the Department of Cell and Developmental Biology at the John Innes Centre. It provides an exciting opportunity to explore disease resistance in the emerging model
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PhD Studentship: Decoding Campylobacter pathogenesis in chickens: From colonisation to contamination
and immunological techniques, confocal microscopy and bioinformatic analyses will be provided. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded
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training in molecular biology, gut microbiology, analytical chemistry, industrial engagement, scientific writing, and IP protection. You will develop skills in laboratory and manufacturing practices, present
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advantage of advances that we have made in this area. The successful candidate will be trained in an array of biochemical and molecular biology techniques (e.g. cloning, recombinant membrane protein
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-of-the-art technics in cell biology, genetics, molecular biology and proteomic, this project aims at characterizing a novel signalling pathway modulating root nodule symbiosis. The insights gained from
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project provides the unique opportunity for the successful candidate to receive broad training on cellular and molecular biology techniques. The project will be supervised by two molecular biologists
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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of Edinburgh and will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Ivan Rungger, National