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clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical data with
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the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as
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students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a plus. We
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of subjects such as computer vision, Machine Learning, Artificial Intelligence and Kinematics and dynamics. Autonomous systems, Robotics and Automation. Industry 4.0 and Internet-of-Things. Advantageous to have
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5 years. The appointments will be in the area of statistical quantitative finance/financial econometrics, in particular data science and machine learning applied to quantitative finance
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-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A culturally rich university with a palpable commitment to the public
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communication, organisational and IT skills. Key Responsibilities Deliver high‑quality teaching, learning and assessment across Beauty Therapy programmes. Act as a course tutor, providing pastoral support and
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disciplines, exemplified by its internationally recognised research in AI, computer vision and machine learning, as well as in networks and cyber security. The School hosts an Academic Centre of Excellence in
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of doctoral students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a
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for early-stage cancer using statistics and/or machine learning (including deep learning where appropriate). You will join a vibrant and growing research group of 12 scientists (six postdoctoral researchers