336 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at University of Sheffield
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at the University of Sheffield. Ultra-thin membranes are key to many modern technologies — from flexible solar panels and sensors to clean-energy catalysts. Making these membranes reliably is difficult, and this
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at the University of Sheffield. Single photons are the indispensable information carriers for core quantum technologies, including quantum communication and computation. The critical hurdle is the reliable
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mechanistic or process-based models. A collection of different models, used in combination to give predictions within a formal mathematical and statistical framework, is known as a multi-model ensemble. Recent
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is produced as a highly dilute aqueous mixture by fermentation. Separation of this mixture by distillation, the de facto separation technology in the industry is highly expensive and energy inefficient
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research undertaken by the EPSRC Doctoral Landscape Award at the University of Sheffield. With the planet facing an environmental crisis, innovative research is needed to achieve our target of net-zero by
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Landscape Award at the University of Sheffield. The world’s energy landscape is undergoing a profound transformation. As we move away from fossil fuels to achieve net zero, technologies such as offshore wind
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Engineered for Excellence: Developing Advanced Traction and Braking Particles to Enhance Rail Sustainability and Safety (C4-MAC-Tomlinson)
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is performed using advanced signal processing techniques. However, such approaches are usually computationally expensive and hardware-limited and they may not be effective in every case, e.g not be
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at the University of Sheffield. The construction industry emits around 40% of global carbon emissions and this needs to be urgently reduced. Structural timber is an excellent candidate since it is renewable
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in Tanzania and Zambia. We will generate whole-genome data for thousands of individuals to estimate the frequency spectra of transferred genes, with the aim of inferring the distribution of fitness