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cancer research, with a particular focus on developing computational methods to analyze imaging and clinical data in patients with liver cancer Position Overview Machine learning and deep learning applied
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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, adapting or evaluating machine-learning or deep-learning models. You should also have experience of organising datasets, conducting computational experiments and interpreting quantitative results. Working
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imaging datasets, electrophysiology datasets or video data) is highly desirable. Proficiency in popular deep learning, computer vision and/or user-interface software frameworks (such as Pytorch, TensorFlow
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central role in shaping the University’s research funding operations and delivering long-term organisational impact. We are looking for a confident and credible leader with deep expertise in research