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Field
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
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About the project: Under pressure: Predictive modelling of battery ageing across the scales Supervisor: Dr Lukasz Figiel, University of Warwick Lithium-ion batteries are essential for electric
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that extend beyond current capabilities. Potential targets include queues, deques, priority structures, linked structures, and new DNA-native information architectures capable of operating in vitro or in living
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materials (Goswami group) and a theory group (Wimmer group) for numerical simulations. We welcome applications from motivated and passionate experimentalists with a background in low-temperature electrical
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. We are seeking a candidate motivated to explore the how emerging technologies – such as machine learning, generative AI, and extended reality (XR) – impact societal preparedness planning required
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electrical engineering, control engineering, applied mathematics, computer science, or a related field A strong background in probability and statistics, machine learning, or control theory Interest in cyber
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and passionate experimentalists with a background in low-temperature electrical transport, qubits and a strong interest in both academic research and technological applications. A doctoral degree in a
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. Government defensive missions. Our team provides technical guidance in capability and capacity development for Security Operations Centers (SOCs), National Cyber Centers, and Computer Security Incident
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the thermophysical and thermochemical behaviour across conditions typical of fuel systems. This research will remove barriers to the adoption of SAF, both for current and future fuels. The research programme will use
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selection criteria Knowledge/experience with control engineering, information fusion and/or data assimilation, marine technology Knowledge of and hands-on experience with machine learning and/or statistical