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on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
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collaboration across disciplines, strengthens partnerships with industry and society, and nurtures a thriving global network, who spearheads advancements in AI & Machine Learning, Data Science, Environmental
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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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and implement machine learning systems, models, and schemes Research and apply state-of-the-art machine learning prototypes to sponsor specific domains Search and select appropriate data sets before
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to Lancaster's high-performance computing facilities. Essential Requirements PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field Demonstrable experience developing deep learning
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Machine Learning. Situated at the intersection of Computer Science and Mathematics, this role offers a distinct opportunity to drive innovation in one of the most dynamic fields of modern technology. You
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POSITION TITLE: Learning & Career Specialist COMPENSATION RANGE: 50,000.00 - 60,000.00 USD per year EMPLOYMENT CLASSIFICATION: Professional Administrative DEPARTMENT: Academic Affairs Office TARGET
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Supervisor: Professor Fernanda Duarte Start date: 1st October 2026 Applications are invited for a fully-funded DPhil studentship in Machine Learning Interatomic Potentials for Metal-Ligand
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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project
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PhD studentship in Machine Learning-Based MIMO Radar Sensing for All-Weather Perception in Autonomous Vehicles Award Summary 100% fees covered, and a minimum tax-free annual living allowance