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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 (CRC) patients. Focusing on microbial modification of 5-fluorouracil (5FU), the study will...
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When robots move, human interaction partners and observers ascribe an intention to the robot. For example, in a simple pick-and-place scenario where a robot is facing two different objects, as its
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description: Understanding how microbes interact with the human host is central to tackling chronic inflammatory, autoimmune, and infectious diseases. This exciting PhD project will harness cutting-edge
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access to personal development opportunities (e.g. research communication and entrepreneurship training) and the ability to interact with two spin-out companies Lineat and iCOMAT. The PhD project will
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-periodic structures, we can precisely control the interaction of radiation with matter, potentially achieving unprecedented timing resolution (sub-70ps) and significantly enhancing signal detection. This PhD
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modelling tools to understand and tailor the physical and chemical interactions at the interfaces within metascintillators. Cranfield University’s Centre for Materials is internationally recognised
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! The interaction between terahertz (THz) radiation and the collective vibrational modes of biological macromolecules is an emerging field in physical chemistry. Terahertz radiation can be exploited to studying
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. Some of these factors include the course design, environmental factors, the peloton strength, interaction of team strategies, rider skills, and underlying physiological capabilities in the final critical
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compatibility with traditional composite matrices. Explore complementary computational fluid dynamics-discrete element method (CFD-DEM) simulations as a tool to predict fibre-fluid interactions and inform
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materials interact with the body. This project addresses that gap by engineering a 3D-printed full-thickness skin model that mimics the aging microenvironment, enabling more predictive evaluation of novel