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in the Lab of Interdisciplinary Spatial Analysis (LISA) in the Department of Land Economy, University of Cambridge. This position is funded by the City University of Hong Kong and will be held
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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
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-person environment and culture. Elements of this role are suitable for hybrid working, where staff can split their time between in-person collaboration and remote working. The frequency of the remote
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score of 7.5 in IELTS (with no element under 7), or a score of 100 in TOEFL (with no element less than 24). For further benefits and details on the Internship: https://www.vet.cam.ac.uk/study/cts/jcts1
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combine genetic analysis and functional investigations in planta with a range of imaging techniques (including CryoSEM and confocal microscopy) to investigate the mechanisms allowing candidates genes
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international business study trip, an elective programme, amongst other key elements, all of which will require the role holder's organisation and coordination skills. The ideal candidate will have experience
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screening data from sites using mammography systems from different vendors. This is a vital component of the EDITH trial (Early Detection using Information Technology in Health), which will recruit 660,000
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for small-RNA sequencing Bioinformatics analysis of small RNA sequencing data Preparing EVs for in-vitro labelling and uptake experiments High-content imaging of cellular morphology and immunochemistry
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Analyst with a background in the delivery of digital products and services to lead business and data analysis initiatives in a complex higher education environment. This role will support our Transforming