131 machine-learning-phd "The Art Institutes" positions at University of Cambridge in United Kingdom
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them to the electric ducted fan design. First, there are many Machine Learning algorithms available and there are several cases of successful adoption of these into aerospace engineering. However, they
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The Blended Learning Service works collaboratively across the University with academics and professional staff in support of teaching, learning, and assessment to further institutional developments
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flexibility in research topics within this main theme. Essential requirements for the candidate include: (1) holding (or about to hold) a PhD/DPhil in Physics or Chemistry, or a closely related field, with a
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Professionalism Education Group sits in the Department of Public Health & Primary Care, School of Clinical Medicine. Your role will be to co-ordinate the activities of the programmes of learning and assessment
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diagnostic imaging research by leveraging expertise in computer vision and image processing. You will be part of a supportive and inclusive work environment that values innovation and excellence. Additionally
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systems with electronic structure and/or machine learning methods, including (or be about to obtain) a PhD in a relevant area. Experience in high-level electronic structure theory such as coupled cluster
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relevant field such as NLP, Information Retrieval, Artificial Intelligence or Machine Learning and be able to demonstrate a strong track record of independent research and high-quality publications
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; experience in programming, data management and interpretation; comfortable developing data-driven and machine learning approaches from experimental data; ideally has experience in blast engineering, or damage
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neuroscience, computational cognitive science, physics, mathematics, computer science, machine learning, engineering or a related field. Preference will be given to candidates with: previous experience in
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funded Innovator Award that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation (and pharmaceutical industry