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transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine Learning and Data Analytics. You will have experience
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, and uncontrolled approximation errors. In this project, we aim to develop novel diffusion and flow-based models, and associated algorithms, which can more efficiently and effectively solve inverse
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to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based propulsion, onboard microgrids, EMS algorithms, and real-time validation
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the neural mechanisms underlying goal switching and behavioural strategy selection, linking algorithmic theories of behaviour to defined microcircuits and pathways. The position will employ a multidisciplinary
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search strategies and lexicons. Proficiency in fitting and validating statistical models or machine learning algorithms is essential, along with advanced skills in R and/or Python for data processing and
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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, and shape a new direction in quantum-omics integration. Your responsibilities will include: Lead Methodological Research: Develop innovative quantum-inspired algorithms for omics data analysis and multi
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Electronic Engineering. The Centre is focused on applied research in neuromorphic systems across three pillars: sensors, algorithms, and platforms, and will collaborate closely with its partner ICNS at Western
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group