331 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at University of London
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multidisciplinary teams will address interconnected research themes including Omics Science; MedTech and Devices and Therapeutic Innovation - transcending the existing boundaries between disciplines. These themes
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– a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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candidate for this position. Therefore, the appointable candidate will need to be eligible to work in the UK or have leave to remain in the UK and associated right to work for the duration of their employment
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Lecturer in Accounting (Teaching and Professional Practice), to act as a Deputy Programme Director for our flagship undergraduate programme in accounting – the Flying Start (FS). FS is a partnership with
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the working of unsociable hours including early mornings, late nights, weekends, and bank holidays. The successful applicant will be expected to support the development of our group exercise programme through
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and Immigration website . Full-Time, Fixed-Term (36 months) Applications are invited for the post of a KTP Associate in Applied Plant Science (full-time, fixed term: 36 months), as part of an exciting
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of a positive, motivated, and successful team. This position is full time working 35 hours per week; 31 hours Monday to Thursday with 4 hours on Sundays. We offer a generous reward package and benefits
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as well as working with collaborators, and proven ability to work with community partners. It is anticipated they will complete a PhD as part of this post. The post is fixed term until 30 September
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will have a PhD in a related field, an emerging track record of outstanding publications, and well-developed plans for new research projects. This post is generously funded by the A. G. Leventis