29 data-science-"https:"-"https:"-"https:"-"Henry-M" Postdoctoral positions in Ireland
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Post Doctoral Researcher (Level 1) Tourism Policy Data Analysis and Dashboard Development Applications are invited for the following position: Title of Post: Post Doctoral Researcher (Level 1
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researcher with a strong background in statistical genetics, genetic epidemiology or genomic data science to lead the analytical work of the project. The successful candidate will conduct polygenic score
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researcher with a strong background in statistical genetics, genetic epidemiology or genomic data science to lead the analytical work of the project. The successful candidate will conduct polygenic score
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environment spanning theoretical physics, quantum science, condensed matter, materials, photonics and interdisciplinary applications of physical science. This role sits within a collaborative quantum science
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applications from exceptional scholars from all sectors of the community who employ computational social science approaches to study information ecosystems and their implications for democratic governance
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University, Ireland, has further opportunity for a well-qualified postdoctoral researcher to join the RINN – Research Ireland Centre for Data Science and Artificial Intelligence, within the Climate
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. 1150 to c. 1350’ (BROKENSONG) (funded by a 5-year ERC Consolidator Grant (https://www.maynoothuniversity.ie/news-events/mu-prof-karen-desmond-awarded-2m-erc-grant-research-songs-medieval-ireland-and
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our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies Applications must be submitted by the closing date and time specified above. Any
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to c. 1350’ (BROKENSONG) (funded by a 5-year ERC Consolidator Grant ( https://www.maynoothuniversity.ie/news-events/mu-prof-karen-desmond-awarded-2m-erc-grant-research-songs-medieval-ireland-and
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following skills and experience: Essential criteria 1. PhD in computer science, AI or related area 2. Proven experience of semantic technologies such as knowledge graphs, ontologies, data