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of Computer Science and Technology at the University of Cambridge, UK. This position is part of a broader effort to advance fundamental research in classical and quantum complexity theory. The successful candidate will
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-verification, and in-country assessments of the nature, extent and likelihood of threats to these heritage sites. MAEASaM is a partnership programme, with the University of Cambridge serving as the lead and
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(mammalian cell culture, lentiviral transduction, flow cytometry and FACS, Illumina sequencing and bioinformatic data analysis. You should have (or be close to completion of) a PhD in molecular/cell biology
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clinical or research context. We would support the successful candidate in applying for admission to a PhD at the University of Cambridge, should they wish to do so alongside this role. Informal enquiries
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the Virginia Tech team. The appointee is expected to take an active role in the collaboration with the project partners, as well as in the collaboration with and mentoring of PhD students. The successful
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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 Human, Social and Political Science. BSPP has an ambitious growth plan including launching an M.Phil in Digital Policy alongside an expanded M.Phil in Public Policy, and the development of a new PhD
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, a PhD (or have equivalent experience). Candidates with a background in environmental or related sciences are particularly encouraged to apply, but we will also consider those with other numerical
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independently and as part of a team. This position offers an exciting opportunity for individuals interested in pursuing a PhD, as it is designed to provide hands-on experience in cutting-edge cell biology
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week industry visit. - The Chancellor Masters and Scholars of The University of Cambridge (UCAM), 1 month, learning different culture models. - Universitá degli Studi di Torino (UNITO), 1 month