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contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ). Your profile A Master's degree in Applied Mathematics, Computational Science, Physics, Engineering, or a closely related discipline
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by the Kate Edger Foundation. The main purpose of the Award is to assist a woman graduate who has completed a minimum of three years of full-time study or six years of part-time study towards a PhD or
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to disseminate your work in international peer-reviewed journals and at international conferences. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
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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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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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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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/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