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Grand Tours, one-day races (monuments and semi-classics), and select World Tour 1-week stage races. The data sources will include video and previous race commentary to ‘code’ key events in races that help
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learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose mother tongue is not English must meet any one or a combination of the following: A
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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of Study’, ‘2025’ in ‘Year of Entry’, code ‘8420F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘PhD Biosciences (FT)’, and save selection. Either upload a document or write into
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project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab
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, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience
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codes for analysis; coordinate with the PI and Lab Manager; participate in regular group meetings and other group activities. Fixed term: The position is available with a flexible starting date. The funds
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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study: search for the ‘Course Title’ using the programme code: 8020F select ‘PhD Biology (full-time)' as the programme of study You will then need to provide the following information in ‘Further Details