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June 2025 or as early as possible thereafter. This is an exciting opportunity for an enthusiastic Astronomical Data Scientist to work within the Cambridge Centre of Excellence in Astronomical Data
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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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. Programming hardware control and user interfaces for data capture, and automation to enable these techniques. Writing and publishing journal papers on experimental findings. Playing an active role in the day-to
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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
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interested in improving our understanding and mitigating the environmental impacts of data centres and artificial intelligence. Primary role will be to lead projects improving how computing environmental
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opportunity to translate high-resolution molecular data into practical tools for non-clinical drug safety and regulatory science. This has the potential to revolutionise our ability to detect and understand
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PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. Further information on the lab: https://www.pdn.cam.ac.uk/directory/ewa
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(waterfall, fire) represented? What is the role of corticofugal projections in setting expectations? How does the auditory system integrate information over time? How does representation change with mental
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project. For more information, please consult the lab website (www.bartlettlab.org ), or contact Madelaine Bartlett via email at mb2705@cam.ac.uk . The Laboratory provides a welcoming and collaborative
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all employees are eligible to live and work in the UK. Further information Apply online