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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Interplay between Algorithms and Combinatorics
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We are looking for a motivated Research Associate to conduct research in Algorithms and Computational Complexity, with applications to Game Theory and Optimisation. The research is led by Paul
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BACKGROUND This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure and
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valve stenosis. In this BHF-funded project which is led by A/Prof Erica Dall’Armellina at the University of Leeds, we aim to determine the robustness of cDTI in identifying microstructural changes in
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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networks Implementation of algorithms via computer simulation Experience with programming in Python, C/C++ or another language Knowledge Knowledge of Optimization methods, signal/image processing techniques
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, harmfulness, jailbreaking, and power-seeking behaviours. You will work alongside Dr Nicola Paoletti and a core team that includes a PhD student from Dr Paoletti’s lab, Prof Osvaldo Simeone from the Department
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, harmfulness, jailbreaking, and power-seeking behaviours. You will work alongside Dr Nicola Paoletti and a core team that includes a PhD student from Dr Paoletti’s lab, Prof Osvaldo Simeone from the Department
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This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure and toolpaths