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Field
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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. Implement AI-driven diagnostics and battery state estimation algorithms. Collaborate closely with industry stakeholders to co-develop next-generation battery control solutions, supporting commercialisation
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, and security teams. Job Requirements: Master’s or PhD degree in Computer Science, Electrical Engineering, or related fields. Strong experience with Hyperledger Fabric, Avalon, or comparable enterprise
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform performance, power, and area
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the “Inverse Problem” component of the project: developing and validating a satellite-based pancake-ice detection algorithm using ICESat-2 wave-damping observations within a Bayesian inversion framework
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: Experience with developing efficient numerical algorithms and modifying electronic structure DFT or quantum chemistry software (e.g. Quantum Espresso, PySCF, GPAW), fluency with electronic structure theory and
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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for someone who shares our values and who will support the mission of the university through their work. Qualifications PhD in Neuroscience, Cognitive Science or a related field Extensive experience algorithms