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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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) in PhD/postdoc/job; has a good publishing track record, and has the ability to work in a team and with collaborators. The experience of system and component level testing in optical systems is an
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of the structure and use of routinely collected cancer data. In this role, the postholder will act as a liaison between the National Disease Registration Service and the Departments of Public Health
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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address and phone number, one of which must be your most recent line manager. For information about how your personal data is used as an applicant, please see the section on Applicant Data (https
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electrophysiology, optogenetics, and behavioural training in mice, and strong data analysis skills (e.g. Matlab or Python). For more information about the lab see https://www.pdn.cam.ac.uk/svl/ . Fixed-term
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networking with colleagues and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering
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of data. Experience in writing papers, proposals, and presenting the results at international conferences. Experience in performing wind/water tunnel testing, particularly for flow visualisation and
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Assistants is £32,546 - £35,116 and for Research Associates this is £37,174 - £45,413 per annum. Suitable candidates should have previous experience of genetic analysis of large scale genome sequence data and