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We are recruiting a lead post-doctoral researcher with a background in nutrition for an ESRC funded project on ultra-processed food, nutrition and eating behaviour. The researcher will join the
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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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the team and collaborate in the preparation of scientific reports and journal articles and occasionally present papers and posters. You must hold a relevant PhD/DPhil (or be near completion), together
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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PhD (or be near completion) in a field such as AI, computer science, signal processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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group aims to determine regulatory pathways affected by disease by implementing the use of spatial proteomics combined with transcriptomics and live imaging. The total proteome of a neuron includes a vast
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an interdisciplinary team working to build this new paradigm of environmentally-friendly and functional living materials, which can be used in diverse application domains. The project team includes leaders in
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, to work on the EPSRC funded project “Prototyping a new green ammonia synthesis process using water, air and concentrated solar energy” in collaboration with Prof. Laura Torrente-Murciano, at the University
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PhD in a relevant specialist subject (e.g., Latin language and/or literature, medieval studies, cultural studies, history, liturgy, or theology) or have evidence that the PhD will be completed by