28 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD scholarships at University of Nottingham in United Kingdom
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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tailored trajectory guidance. Enhancing Robot Autonomy: Enabling robots to improve their own performance by learning from operator data, ultimately enhancing their ability to assist in complex tasks. Key
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extrapolated to increase the conservation of our built heritage at risk. Learning from previous earthquakes to increase resilience in future earthquakes in seismic areas (Feilden 1987) is essential to ensure
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transcripts. These should be submitted via email to Dr Taresco and through the University of Nottingham’s online application system (https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx
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. These should be submitted via email to Dr Taresco and through the University of Nottingham’s online application system (https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx ), selecting “Chemistry
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Requirements We are seeking enthusiastic, curious, and motivated individuals with: A strong academic background in computer science, artificial intelligence, machine learning, data science, engineering, or a