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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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and computer-intensive resources. Performance Optimization: Continuously monitor and optimize the performance of both internal and cloud-based systems, implementing best practices for resource
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.). Besides these research-focused areas, we expect the successful candidate to be able to contribute to our teaching portfolio within e.g., data science, machine learning, IoT, computing, etc. We additionally
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expected to initiate and expand research collaborations with colleagues at the School, at Imperial College London, and beyond. Teaching – The Dyson School of Design Engineering provides exceptional learning
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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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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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pulmonary arterial hypertension (PAH). You will also be part of the Cardiac Electro-Mechanics Research Group (CEMRG) at Imperial College London which applies statistical, machine learning and simulation
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interest in research. Demonstrated ability to plan, conduct, and analyse clinical research independently. Proficiency or willingness to develop skills in bioinformatics, data analysis, and machine learning
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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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