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will contribute to our ability to understand and predict this critical component of ecosystem function. You will work within group spanning ecological science, engineering, and computer science methods
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Management. Additionally, the role will contribute to teaching on our Postgraduate Certificate, Diploma, and MSc programme in Managing Risk and System Change. The ideal candidate will have expertise in
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to contribute to the teaching of pharmacology to medical, biomedical science and allied health professional students. The successful candidate will have a key role in embedding curriculum reform changes within
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Post Summary The Open Access Librarian supports key initiatives, repositories, and workflows for open research, open scholarship, and wider digital scholarly activities in the University. Situated in the Library’s division of Content Management & Open Scholarship (CMOS), the post-holder reports...
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- an introduction) Post Summary: The primary purpose of this post is to contribute to general and shared nursing teaching within the undergraduate degree programme in nursing in the School. The successful applicant
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of Computer Science and Statistics at Trinity College Dublin. The successful candidate will work on a project examining rugby dynamics by means of video annotation and coding for automated tackling analysis. The role
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risk. These studentships are ideal for candidates with a strong background in computational biology, bioinformatics, population genetics, and statistical genetics and an exceptional interest in
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advancements in trustworthy AI and Software Engineering. Post status: Specific Purpose Contract Hours of Post: 39 hours per week Salary: Appointment will be made on the SFI Team Member Salary Scale for New Post
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also of growing interest to industry.Project supervisor: Dr. Eoin Delaney (Trinity College Dublin).Project locations: School of Computer Science and Statistics, Trinity College Dublin.PhD structure
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of the studies which you will work on (the PREVENT Research Programme: http://preventdementia.co.uk/) aims to identify potential biological or psychological risk factors of Alzheimer’s disease in a mid