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cryptography , zero-knowledge proofs (ZKPs) , and trustworthy AI . This is a rare opportunity to work on a problem that sits right at the frontier of two of the most urgent challenges in modern computing: the
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-AI team. The three academic Work Packages are independent but interconnected, allowing the postholder's research on the development of AI technology to inform the project's parallel research into
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, including volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be underpinned by the
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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
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Information Modelling (BIM), Artificial Intelligence (AI), cloud computing, IoT technologies, and real-time data analytics. Working with an international consortium of academic and industry partners, you
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reference genomes, large WGS datasets and high‑performance computing, and collaborate closely with an RA responsible for lab work. The role includes opportunities for fieldwork in France, work with
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chemistry, demonstrating strong proficiency in electronic structure calculations, high-performance computing (HPC), and code development for molecular spectroscopy. This full-time, 3-year position supports
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volatiles in human breath. While in parallel, pioneering novel methods that integrate synthetic and living tissues into structures for organ repair. All the research will be underpinned by the development
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Post Doctoral Research Fellow - Mapping Futures 2 Project Faculty/Directorate Faculty of Engineering, Computing & the Environment School/Function Faculty General (ECE) Contract type Fixed Term Contract
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applying deep learning or AI/ML methods to complex scientific datasets. Strong programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing