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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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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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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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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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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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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
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Portal: applyto.newcastle.ac.uk In ‘Course choice’ tab, put ‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2025’ in ‘Year of Entry’, code ‘8440F’ in ‘Course Title’, blank in
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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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Deployment The PhD programme offers: Training in the theory for solar energy technologies, experimental measurement and evaluation techniques, tools for modelling and predicting PV generation. Opportunities