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processing and analysis systems for optical and near-infrared mosaic imaging surveys (e.g. VISTA, VST); spectroscopic surveys (e.g. WEAVE, 4MOST); developing pipelines tailored for the analysis of various
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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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across the Museum to deliver informative and timely responses. They maintain press image banks, contact lists and content systems; support the organisation and delivery of media events, visits, press trips
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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imaging; and significant research effort is currently devoted to cancers arising in the breast, pancreas, brain, and colon. Our Core Facilities provide researchers with access to state-of-the-art equipment
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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technologies such as single-cell transcriptomics, cerebral organoids, and advanced imaging to build our understanding of the biological processes behind the earliest stages of neurodegeneration and ageing
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parasite biology and access to facilities including a derogated CL3, and state-of-the-art flow cytometry, genomics and imaging facilities. Applicants with enthusiasm for teaching at undergraduate and
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of Astronomy to support a range of data-intensive ground and space-based imaging and spectroscopic missions and research projects. Skills and Experience Preferred: Hands on experience in deploying and
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. Applicants should not feel obliged to focus on a traditionally identified paradigm. The ideal candidate for this Research Fellowship will have a strong background in a relevant area of work and be completing