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. To apply, please contact the main supervisor; Prof Nick Lockyer -nick.lockyer@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience
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and a strong interest in computational modelling and programming. To apply, please contact the main supervisor, Dr. Mara Strungaru - mara.strungaru@manchester.ac.uk . Please include details of your
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IDLA studentships are available for eligible home students and a limited number of international students. Applicants should have (or expect to be awarded) a good UK Master's degree (or overseas
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coursework, research training and a minor thesis packaged into a Master of Commerce (MCom) degree, and takes one year to complete. Provided you meet the agreed conditions, you will then progress to the PhD
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candidates follow courses and assist in teaching Earth Sciences at Bachelor's and Master's level. Together these activities amount to twenty percent of the contracted time. Your qualities The project combines
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/Orthoptics/Ophthalmology or a relevant Masters qualification. Essential skills include: Previous research experience and/or clinical experience in use of virtual reality devices or vision assessment in
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed
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to shortlist applicants for interview. Masters at 65% Work experience relevant to the proposed project Publications - peer-reviewed Equal Opportunities The University is an equal opportunities employer and
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electric motor manufacturing platforms at both locations. Project Description Electrification is a main enabler for decarbonised transportation. Ambitious roadmaps to achieve the “Net Zero” target by 2050 in
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the department and have the opportunity to join masters level courses (including courses on research methods). Moreover, our PhD students are supported to attend high-quality international workshops and summer