22 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Cambridge
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Mathematics and Mathematical Statistics. Duties include developing and conducting an individual program of research. The successful candidates will usually be associated with one of the departmental research
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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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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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. Applicants should have (or be about to obtain) a PhD in chemistry with expertise in the synthesis of conjugated small molecule and/or polymers. Key skills that are required are the ability to work on multiple
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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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PhD. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38
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stakeholders who benefit from these ecosystems. The successful candidate will have a PhD in a relevant subject such as interdisciplinary ocean science, or ecology and preferably a good understanding of the
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. Subject to achieving project milestones and deliverables, funding for a further 9 months is likely to be available. Applicants should have (or be about to obtain) a PhD in organometallic chemistry
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world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
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and Content Learning: Addressing Sociolinguistic Diversity in India's primary schools', a project that investigates the role of alternative multilingual assessment tools for underprivileged learners in