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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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Artificial Intelligence (DSAI) is a multi-disciplinary department hosted under the Faculty of Computer and Mathematical Sciences established on 1 January 2025. DSAI will be at the forefront of cutting-edge
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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conditions, in large cohort studies as well as randomized controlled trials Perform other duties as assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics
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or the Director of the Museum Studies Programme or the PI. Applicants must have a PhD degree in Chemistry, Material Science and Engineering, Physics, or related disciplines, or in Conservation/Heritage
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Department. Requirements 1. A PhD degree or equivalent qualification, preferably with at least 2 years of relevant postdoctoral research experience; 2. A strong background in Mathematics/Applied
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should also have: (a) experience in field measurements of IEQ, energy simulations and machine learning modelling; (b) strong analytical and problem-solving skills, with the ability to conduct
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. At current rates, salaries tax does not exceed 15% of gross income. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. (including a