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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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Associate level is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be, awarded appointment will initially be
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combustion experiments and in particular hydrogen and liquid fuels, image processing, and excellent knowledge of turbulent combustion. Appointment at Research Associate level is dependent on having a PhD
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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of our key research directions relevant for this position. Candidates should have (or be near to completing) a PhD in Computer Science or a related subject, or relevant experience. A high degree of
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responsibilities of the job - Access and analyse national cancer registration data, population statistics, and mortality data by ethnicity. - Calculate ethnicity-specific absolute risk thresholds and estimate
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the Further Information document Further information on the Faculty of History's PhD programme can be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/hihipdhis and https
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cycles and refine deliverables accordingly. The skills, qualifications and experience required to perform the role are: A PhD in Computer Science, Civil Engineering, Data Science, Information Systems, or a
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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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bioprocessing technologies to deliver efficient pathways for upcycling captured carbon into high value products. The successful candidate will have a PhD, or be studying towards a PhD, in synthetic biology or a