240 software-engineering-model-driven-engineering-phd-position positions at Cardiff University
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- Systems Support/Developer – Learning and Teaching software Cardiff University has a vacancy for a System Support/Developer role within the VLE team in University IT. Us We want to make Cardiff University
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current contract of employment with the University. Internal Applicants Only - Systems Support Developer / Analyst (Business Objects Developer) Us We want to make Cardiff University an institution that is
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current contract of employment with the University. Internal Applicants Only - Systems Support Developer/Analyst (CRM) Cardiff University has a vacancy for a Systems Support Analyst/Developer within the IT
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- Integration Developer The Cardiff University Development and Integration team has exciting opportunities for two motivated and enthusiastic developers to work on a range of integration projects. The roles will
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Advert Systems Support Developer / Analyst for Financial Systems University Technical Solutions Group The role holders’ primary duties will be to support and develop the University’s Financial
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current contract of employment with the University. Internal Applicants Only - Senior Systems Support Developer Analyst (SITS Developer) We are looking for an experienced SITS Developer to join our team
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- Education Developer (Assessment and Feedback) The Education Developer will support the student experience of assessment and feedback at Cardiff University through the development and delivery of activities
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tidy ⦁ Provide requested drawings and plans using Autodesk inventor or equivalent CAD software ⦁ Construct required parts using workshop engineering equipment such as Manual Lathes, milling and
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- Technology Transfer Officer (Biomedical & Life Sciences) The purpose of the post of Technology Transfer Officer (Biomedical & Life Sciences) is to provide technology transfer support for the College
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computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis, to deliver a