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Science, Computer Engineering, Informatics, Data Science, Computational Social Science, or adjacent disciplines with research experience in agent-based modelling, social data science, or social network analysis and
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interdisciplinary as it supports the advancement of constraint programming, operations research and machine learning domains. The Senior Post-Doctoral Researcher will be expected to perform research and development
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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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4 academic groups, 3 industrial partners and a patient organization. The aim of the project is to design a first in class oral medicine for local intestinal delivery of siRNA and mRNA to treat ileal
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candidate will lead the design and modelling of thermally regulated DNA motifs and contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in
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contribute to the development of an automated and renewable DNA computing prototype. The role encompasses both wet-lab and in silico work, including sequence design, data analysis, experimental planning, and
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. - statistical and machine learning techniques for data analysis - atmospheric chemistry research - materials chemistry research - designing and conducting experimental test procedures. Achievement
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the University College Cork vacancy portal https://ore.ucc.ie/ Queries relating to the online application process should be referred to recruitment@ucc.ie quoting the job-title and project name. Candidates should
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: + 353 (0) 21 490 1919; Email: m.arnold@ucc.ie Applications must be submitted online via the University College Cork vacancy portal https://ore.ucc.ie/ Queries relating to the online application process
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, DCU, DkIT, MU (lead) and UCC, with education technology providers to develop an innovative approach to teach students in the experimental sciences. The initiative is to develop courses in which a