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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
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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 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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equivalent) in a relevant science or engineering related discipline. To apply, please contact the main supervisor; Dr Zhang - dongda.zhang@manchester.ac.uk . Please include details of your current level of
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. Below is a selection of your primary areas of responsibility: Conduct structured interviews with clinicians to assess needs related to therapeutic drug monitoring Identify and engage relevant hospital