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genome and metagenomic sequence data. The essential education and experience requirements for the post are as follows: Have or be about to obtain* a PhD in Microbiology, Pharmacy, Bioinformatics or related
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expertise ranging from mathematical modelling to chemistry, molecular and cell biology, material sciences and engineering, and medical devices. The Research Fellow will be working in collaboration with
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(Research Engineer) Bachelor/Master degree in Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical
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internationally recognised university in Mechanical Engineering, Chemical Engineering, Materials Engineering, Applied Physics, Chemistry or another relevant field. This role will focus on multiple projects where
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project: Atropisomerism as an Enabling Technology for Foldamers. This research programme aims to develop a new class of artificial oligomers – atropisomeric foldamers – in which molecular conformation is
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This post is full time, and has funding for up to 1 year. The School of Chemistry is looking to recruit a Research Associate/Fellow in Digital Chemical Robotics to make a leading contribition to a
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will involve the development of advanced data analytic and machine learning techniques applied to the processing of sensing signals obtained from advanced fibre-optic communication systems. You will be
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(including Archaeology, Anthropology, Politics and International Studies, Social Sciences). Further information about these Faculties may be obtained from the University of Cambridge’s website: www.cam.ac.uk
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opportunity to conduct cutting-edge science with the potential to reshape our current understanding of mental health. Supported by a collaborative environment, you will be able to advance your research
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering