49 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " Postdoctoral positions at University College Cork
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package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Dr Frances Judge, Lecturer in Energy Engineering, School of Engineering, Email
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and Technology - MARQUIS Post Duration: 16 Months, Whole-Time Salary: €54,307 - €59,064 p.a. (IUA PD2 Scale) For an information package including further details of the post see https://ore.ucc.ie
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is a collaboration between Irish, Northern Irish and UK Institutions who are working on a research programme to rapidly develop innovative and transformative solutions to transition the food system and
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Duration: 1 Year 9 Months, Part-Time Post Salary: €46,805 - €53,391 p.a. pro rata .8 FTE (IUA PD1 Salary Scale) For an information package including further details of the post see https://ore.ucc.ie
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-Doctoral Researcher Salary: €46,306 - €52,863 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
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that researcher ineligible for appointment at a similar level in another Irish HEI Researcher Career Development Framework | Irish Universities Association Project Title: Macroscopic Quantum Science and Technology
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Scale) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Dr Frances Judge, Lecturer in Energy Engineering, School
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(UCC), Ireland. Successful candidates will be part of a highly motivated team that will use modern computational methods to develop critical medicines for improving global health and equality. For low
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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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. The successful candidate will lead the technical development and validation of equipment-level FDD and preventative maintenance methods, leveraging digital twins, data analytics, and reliability engineering. In