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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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and time-resolved spectroscopic studies on such systems using laser-based methods and characterizing reversible interactions between such complexes and biomolecules is desirable. You will be integrated
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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media and society, or equivalent experience. Experience of delivering excellent, innovative courses involving the teaching of digital identities, social media cultures, digital activism, digital methods
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PMLD. Design and implement online, asynchronous training materials. Contribute to data collection using quantitative and qualitative methods. Collate, input and organise data into data analysis software
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experience of treatment. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies
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Next Generation Aero-Engine Sealing Technologies
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of Information, Journalism and Communication at the University of Sheffield is one of the major research and teaching establishments in the UK. We are committed to a research and teaching programme that takes