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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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Department/Location: Department of Engineering, Central Cambridge We are seeking a highly motivated Research Assistant/Associate to join EPSRC and industry funded Digital Roads (DR) Prosperity
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There is an exciting opportunity for two students to pursue a funded PhD with Angelo Pirrone, Nathan Evans, Giovanni Sala and Konstantinos Tsetsos at the University of Liverpool, starting in October
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of Cambridge. The position will be for 12 months from the 2nd February 2026 in the first instance. Project research topics must fall under the combined themes of human-computer interaction and critical
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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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) opportunities for publication; (2) the chance to develop knowledge and skills in neuroimaging analysis; and (3) experience of working with digital mental health and smartphone-based assessment tools. There will
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-motivated in advancing science. Their active involvement in this project will contribute to their career development, such as increasing their competitiveness in PhD scholarship applications. The successful
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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knowledge of laser diagnostics for flames, experience with combustion experiments and in particular hydrogen and liquid fuels, image processing, and excellent knowledge of turbulent combustion. Appointment