217 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Manchester
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The Faculty of Biology, Medicine and Health are offering fully funded NIHR Clinical Lectureships in the following specialties and themes: Neurosurgery / General Surgery / Plastic Surgery Obstetrics
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. Number available Varies by programme. Funding provider The University of Manchester Faculty of Science and Engineering Level(s) of study This funding is available to students undertaking the following
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such as mathematical biology and computer science, as well as in verifying theoretical results by numerical work. For instance, there are a number of stochastic models of epidemics where the course of the
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joint venture between the Faculty of Science and Engineering and Rapiscan in strategic partnership with The Cockcroft Institute (https://www.cockcroft.ac.uk). The fellowship will have a focus in
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, magnetism and computational studies of low oxidation state rare earth chemistry. This post is part of the project “Interdisciplinary studies of low oxidation state rare earth elements,” supervised by Profs
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student facing roles Manage teaching assistants where appropriate Work collaboratively with programme directors, education leads and other lecturers Training Identify personal and team training needs
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Group institutions offering a dedicated Fashion Business and Technology discipline, we are uniquely positioned at the intersection of global fashion business, technology and innovation, with a distinctive
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by programme. Funding provider The University of Manchester Faculty of Science and Engineering Level(s) of study This funding is available to students undertaking the following types of study: Allowed
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in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays
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or approximators of the control law. This will alleviate the modelling complexities and the online computational requirements of the control algorithms and provide them with learning, self-regulating and adaptive