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geolocated social media data, and computational techniques from network science and machine learning. It is interdisciplinary, combining theories of healthy and accessible cities with computational data
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computer science. We welcome applications from candidates with a passion for high-performance sport, education and experience in any/all of the above, and a willingness to extend their skills in, and
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properties. Our group uses theoretical and computational chemistry, physics, and materials science in combination with chemical machine learning to explore and exploit diverse functional organic and hybrid
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable What-If Analysis of Intelligent Networks Funded PhD Project (UK or International Students) Funding provider
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Funded PhD Project (UK or International Students) Funding provider: Northeastern
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Northeastern University London Fully Funded PhD Scholarship in Computer Science Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems Funded PhD Project (UK or International
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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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on synthetic/real data sets Report the findings in the form of a report/article, with the aim of publishing in ML journal/conference Job Requirements: Bachelor’s in Mathematics/Computer Science/Statistics
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Research Assistant Professor of Internal Medicine, Epidemiology Posting Number req36247 Employment Type Faculty Faculty Type Research Hiring Department IM Epi (852Q) Academic Location School