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. The current focus is on developing algorithms and foundations for deep learning and foundation models, particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine
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orientation, age, marital status or disability status. Because of our diversity values we do particularly support women to apply. The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
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A university degree in computer science, mathematics, physics or engineering science (diploma/ master's degree) or an equivalent degree is required A strong interest in medical imaging and computing
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mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. Major responsibilities Your major
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://www.unibo.it/en/homepageRequired skills/qualifications:• A Master's or engineering degree in applied mathematics, statistics, biostatistics, bioinformatics or computer science.• Experienced user
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Training. It recruits enthusiastic students from across physical sciences, mathematics and engineering who enjoy using their mathematical skills and thinking flexibly to solve complex problems. By developing
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master’s thesis had a strong element of mathematical modelling for development of neural networks, this will be considered a big advantage. Experience with analysis of spatio-temporal medical image data and
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from nanoscale and nonlinear photonics and fibre lasers to medical lasers and bio-sensing for healthcare and the high-speed optical communications technology that underpins the internet and the digital
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and defense of a PhD thesis on the topic of medical image analysis using machine/deep learning. Profile You have a Master's degree in Computer Science, Engineering, or Mathematics (or related) or you
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prediction. This project is a collaborative effort between the School of Computing & Mathematical Sciences (CMS) and the School of Engineering (SoE) to utilise expertise and facilities between two schools