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‘experts by experience’ in academic research. Project Title: id+ Futures Project Post Duration: 12 months Salary: €45,847 - €52,339 per annum, IUA PD1 For an information package including further details
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and Rehabilitation, under the direction of the Principal Investigator, Professor Suzanne Timmons. The successful candidate will contribute to trial design, data collection, analysis, and dissemination
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20 Months (with possibility to extend), Fixed-Term, Whole-Time Post Position Summary Applications are invited for a Senior Post-Doctoral Researcher position within the School ofComputer Science
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, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
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Postdoctoral experience, inclusive of the duration of the advertised post, would exceed 6 years, you should not apply and should refer to Research Fellow posts instead. Prior to application, further information
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Post-Doctoral Researcher: €53,770 - €58,479 per annum (IUA PD2) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence
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For an information package including further details of the post see https://ore.ucc.ie/. Informal enquiries can be made in confidence to Dr Irene Hartigan, Senior Lecturer, School of Nursing & Midwifery, Tel: + 353
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, creative, and driven Postdoctoral Researcher with a passion for interdisciplinary science and a desire to apply their unique talents to high-impact work aimed at improving human health, to join the dynamic
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handling, computational biology such as RNA sequencing and metabolomics and analysis of large datasets will be highly valued. The appointee will work directly with the Aburto Lab group. Our work focuses on
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to harness the power of artificial intelligence (AI) to interrogate vast maternal and neonatal datasets already available on thousands of infants through previous INFANT Centre research studies and from data