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The project aims to develop a publicly accessible in silico database that identifies and catalogues bacterial genes capable of altering the effectiveness of chemotherapy drugs in colorectal cancer
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for a pre-doctoral academic with an interest in primary care cancer diagnosis and will lead to skills development particularly in analysis of observational data and may lead to opportunities to employ
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friendly team of interdisciplinary researchers at the Centre of Global Health Law to work across two of our flagship projects on digital health data. This is also an excellent opportunity for you to develop
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the development of globally inclusive language technologies and to design transformative approaches to overcome them. Responsibilities of the post holders include the development of new methods for multilingual
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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Supervisors: Dr Katherine Finlay, Psychology (Lead) Collaboration Partners: Dr Alexandra Oti, Unravel Health Dr Chanais Matthias, Manchester Metropolitan University Project Overview: Hormone-driven
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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This PhD project will focus on the development of scalable and sustainable dielectric deposition processes tailored for WBG semiconductors, with an emphasis on interface engineering to optimise
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tax-free maintenance grant at the standard UKRI rate of £20,780 per year for 3.5 years. An additional Top-Up of £3,000 per year for 3.5 years is available to previous University of Leeds graduates. Lead