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/ . The post offers an exciting opportunity for conducting internationally leading research on the whole spectrum of novel machine learning algorithms and practical medical imaging applications, aiming
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strong background in both robotics and machine learning, with first-authored publications in the leading international conferences/journals in robotics. Candidates should have experience in some or all
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area, with content covering robotics and machine learning, and excellent programming skills in Python. You should have research experience in either robotics or machine learning. You should also have
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can be found at https://wp.doc.ic.ac.uk/szafeiri/ . A PhD (or be close to completion) in an area pertinent to the subject area, i.e., computer vision, machine learning. A proven track record of
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develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs. A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data
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, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
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for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
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The main objective of this post-doctoral research associate position is to develop and implement advanced machine learning methods for constructing latent spaces for multi-modal data integration
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the project. In addition to presenting research in top computational neuroscience, complex systems, machine learning, and/or neuroimaging venues, the Research Assistant/Associate will be expected to contribute
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for Clinical Application of Particles and the Centre for High-Throughout Digital Electronics and Machine Learning - we demonstrate a commitment to interdisciplinary collaboration. Visit our webpages for more