10 computer-vision-and-machine-learning Postdoctoral positions at University of Cambridge
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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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clusters, biophysics, solids and surfaces, machine learning, quantum computing, and self-consistent fields. We develop new theory and associated computational tools, which are supported and distributed
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. Join our cutting-edge research program, spearheaded by Prof. Tamar Makin, as we delve into the fascinating realms of motor control, neural representation of the human body, and robotic body augmentation
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connectomics data is desirable but not essential. The successful candidate will join a team based in Zoology with 10 team members, carrying out data processing and analysis on computer-assisted neuronal
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aims to apply time-resolved machine learning to EEG and MEG data collected from non-speaking autistic people and neurotypical people while they listen to an audiobook, in order to study the hierarchy
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the Jones team website (https://www.slcu.cam.ac.uk/research/jones-group ). Foundations in molecular biology and confocal microscopy are required, alongside a willingness and ability to learn and work with new
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Applications are invited for a Postdoctoral Research Associate with a strong computational background and expertise in spatial profiling platforms and cancer biology, to develop and oversee a new
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Biomedical Campus. You will join an exciting research programme investigating critical host factors influencing the pathogenesis of Monkepox Virus. This post will involve the use of cutting edge proteomic
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experience in computing and flow-synthesis would be highly advantageous. The project is due to start in April 2025. Appointment at the Research Associate level is dependent on the award of a PhD. Those who
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projects simultaneously including coordinating with other group members and collaborators. Additional expertise in computational, solid state, photophysical, electrochemical characterisation, device