41 computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "https:" positions at University of Leeds
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of Leeds and Southwest Jiaotong University have established the SWJTU-Leeds Joint School at the SWJTU campus in Chengdu, China, delivering undergraduate degree programmes in Computer Science, Civil
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courses, meetings and workshops, and conference organisation. We host internationally renowned presenters and experts, curating a varied programme of events for engineers from both industry and academia
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join the vibrant Integrated Academic Training programme at Leeds which provides a supportive research environment to develop independent, novel research alongside your clinical specialist training
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access to the University of Leeds’ facilities, resources, and academic expertise. Do you hold a Master’s or PhD in Analytics, Data Science, Computer Science, Engineering, or a related discipline? This is
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within the school of Mechanical Engineering** Are you an experienced Mechanical Engineering technician with proven management abilities? Are you looking for a new and exciting challenge? Do you want
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Faculty of Health and Life Sciences Leeds Institute of Cardiovascular and Metabolic Medicine Are you a scientist or Radiographer with an interest in diagnostic imaging? Would you like to develop and
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seeking a proactive, highly organised and relationship-driven MBA Careers and Employer Engagement Consultant to lead employer engagement activity across the Leeds MBA programme. This role will work closely
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, Technology and Operations Department (ATOD) within Leeds University Business School. You will have the opportunity to be a member of the Research Centres operating within the ATOD Department, including
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education. Are you passionate about delivering an exceptional student experience in a research-intensive Russell Group University? We are seeking someone with a background in the science of diagnostic imaging
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use in vivo two-photon calcium imaging in mice, alongside behavioural assays and computational modelling, to track how learning-driven changes emerge in these early circuits and how this shapes