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priorities and adapt quickly to shifting demands to meet deadlines Desirable criteria A postgraduate qualification in health or social sciences or similar e.g. MSc or PhD Experience in methods of inclusive co
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Division/Team: Division of Informatics, Imaging & Data Science Hours Per Week: Full Time (1FTE) Closing date (DD/MM/YYYY): 30/07/2025 Contract Duration: 36 Months School/Directorate: School of Health
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The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to a teaching focussed role of Lecturer in Digital
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or nearing the completion of a relevant PhD. Essential skills include hands on experience with mechanical characterisation of biological entities and investigation of their flow patterns inside closed systems
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to departmental service; and (e) perform any other duties as assigned by the Head of Department or his/her delegates. Qualifications Applicants should: (a) have a PhD degree in Computing, Computer Science, Applied
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. MSc or PhD Experience in methods of inclusive co-production Experience of coordinating a network for research or public engagement or programme of work Publications, including blogs, reports, web
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-time students on a pro-rata basis. The course should be completed with no gaps in study to retain the full bursary amount. PHD / Postgraduate Research courses are not eligible for this bursary. How
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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postgraduate qualification in health or social sciences or similar e.g. MSc or PhD Experience in methods of inclusive co-production Experience of coordinating a network for research or public engagement
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a MEng/MSc in Electronics, Computer Science, Mechatronics, or a relevant discipline. You will have demonstrated track record of proficiency in C#/Python as well as experience with Unity, embedded