250 phd-studenship-in-computer-vision-and-machine-learning positions at Cardiff University
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duties not included above, but consistent with the role. Person Specification Essential Criteria Qualifications and Education 1. Postgraduate degree at PhD level in a related subject area or relevant
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in a similar role or environment, e.g. Higher Education. 2. Ability to speak/understand Welsh or a willingness to learn. 3. Experience of using computer packages and financial software packages
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of Biomedical and Life Sciences primarily in the Schools of Medicine, Dentistry, Biosciences, Pharmacy & Pharmaceutical Sciences, Healthcare Sciences and Optometry & Vision Sciences. The post will support the
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or already hold a PhD or hold equivalent professional expertise in Law or a cognate field by the time the appointment begins; and have an ambitious scholarship agenda. From a teaching perspective, the
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2 accredited training programme, the only one of its kind in Wales. It is also funded by Welsh Government, so any successful candidate will become part of the drive to improve standards in CBT
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Professional Services and in Academic Departments. While undertaking your role, you will be an agent for change, reviewing your own performance and progress, looking for opportunities to learn. You will review
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on scientific understanding of disease mechanisms into innovative therapeutic approaches. Our vision is to play a leading role in discovering new medicines in areas of high unmet need, with a particular emphasis
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hold a PhD or hold equivalent professional expertise in Law or a cognate field by the time the appointment begins; and have an ambitious scholarship agenda. From a teaching perspective, the successful
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We’d like to hear from you If you, have a PhD (or equivalent) in Paleoclimate or Paleoceanography. Have extensive experience with foraminiferal geochemical and/or paleo-ocean circulation proxies. Have
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this role, you will: will support a UKRI Future Leaders Fellowship research programme conduct research within geometric inference or topological data analysis develop research objectives and proposals for own