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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
addressing important data-driven applications in medicine, engineering, and the physical sciences, on the basis that important applications foster novel algorithms which in turn enable new applications
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experience Evidence of experience with public-patient involvement and stakeholder engagement Track record in scientific publication and dissemination Experience with Machine Learning Algorithms and Artificial
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of Computer Science and Information Technology, to work on developing interactive software to create schedules. Prior experience in constraint programming, schedule generation and software development are essential
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administration of the delivery of the learning and development offerings provided for all categories of Maynooth University staff. The postholder will be responsible for the scheduling, rollout, promotion
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research experience is desirable. Good report writing and presentation skills Good analytical skills and computer skills. An ability to work independently to a tight schedule. Capability of working
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tight schedule. Capability of working effectively within a team to achieve results. Evidence of excellent organisational and communication skills. High levels of initiative are encouraged. Previous
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, and to a tight schedule essential. Please note that Garda vetting and international police clearance check form part of the selection process. LanguagesENGLISHLevelExcellent Additional Information
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skills. An ability to work independently to a tight schedule. Capability of working effectively within a team to achieve results. Evidence of excellent organisational and communication skills. High levels
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across the institution. This includes managing the conduct of examinations, scheduling the examination timetable, and supporting schools in maintaining and updating assessment data within the Student
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sensitively with research participants, ensuring ethical and respectful engagement. Provide comprehensive administrative support for research projects, including scheduling, documentation, record-keeping, and