192 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" "U.S" research jobs in Ireland
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refer to Research Fellow posts instead. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs
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information about the project can be found at the following website https://palliativeprojects.eu/in-touch/ Achievement of the expected progression within Post Doc and Senior Post Doc is transferable between
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outstanding education are interlinked and equally valued. Professor Lorna Lopez and Professor Andrew Coogan invite applications for the position of research assistant on the “Ambient-BD” research project (https
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https://ore.ucc.ie/ Informal enquiries can be made in confidence to Marcus Claesson, Prof, School of Microbiology, Tel: + 353 (0) 21 4901390; Email: m.claesson@ucc.ie Applications must be submitted online
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ERC Consolidator Gran (https://ahi.maynoothuniversity.ie/brokensong/ ). The position is full-time but a part-time working arrangement may be considered. The place of work is Maynooth University, Ireland
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- €53,391 p.a. (IUA PD1 Salary Scale) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Prof. Anne Moore, School
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. Where to apply Website https://www.met.ie/about-us/vacancies Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD or equivalent Research
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). The work will involve the analysis of archival biological material from past experiments and ongoing observational studies. Where to apply Website http://www.ucc.ie/en/ Requirements Research
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. Information on the Health Promotion Research Centre can be accessed at: http://www.nuigalway.ie/hprc . **Salary: **Research Assistant salary scale €33,791– €43,872 per annum (subject to the project’s funding
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will support two projects, one of which is “SMART-FLOW: Harnessing Multimodal Data and Machine Learning to Optimize Fluid Management in Intensive Care” and is funded by the Spark Innovation Programme of