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Field
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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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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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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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methods experience. Quantitative applicants are expected to have worked with large datasets or equivalent project experiences, and have programming skills such as R coding (preferable) and communication
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of Study', ‘Full Time’ in ‘Mode of Study’, ‘2025’ in ‘Year of Entry’, code ‘8440F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘PhD Translational and Clinical Research (FT)’, and save
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of this PhD is to use optical flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected