30 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Cambridge
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be about to obtain) a PhD in chemical biology. They will be highly motivated and able to work independently. Excellent organisational and interpersonal skills are required to ensure success in liaising
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of instruction and the planning / delivery of seminars relating to their research area. The successful candidate will have completed (or expect to soon be awarded) a PHD in Theoretical Physics or closely related
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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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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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. They will use this knowledge to develop strategies to engineer expression in plants, seeking to optimise yields from metabolic pathways. Key skills The successful candidate must have a PhD in molecular or
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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
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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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techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and