107 application-forms-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at Trinity College Dublin in Ireland
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Government pay policy. monthly/weekly payscales. (tcd.ie) How to apply: Applicants will need to submit the following via the recruitment portal: • A cover letter (1x A4 page) that specifically addresses
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of Computer Science and Statistics invites applications for a permanent full-time Executive Officer to join the School’s Accounts Unit. The successful candidate will undertake a range of duties as directed by
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Reports to: Head of Discipline and Head of School Post Status: 5 Year Fixed Term Tenure-Track Closing Date: 12 Noon (Irish Standard Time), 18 May 2026 Application Procedure Candidates should submit by e
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) at a point in line with current Government pay policy. monthly/weekly payscales. (tcd.ie) How to apply: In order to assist the selection process, applicants should submit a Curriculum Vitae and a Cover
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-6), Salary Scale ( €70,942 - €112,331 per annum) at a point in line with current Government pay policy. monthly/weekly payscales. (tcd.ie) How to apply: To assist the selection process, applicants
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) at a point in line with current Government pay policy. monthly/weekly payscales. (tcd.ie) How to apply: To assist the selection process, applicants should submit a Curriculum Vitae and a Cover Letter
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for excellence in education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Post Summary Applications are invited for the above post, which will support
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), Salary Scale (€70,942 - €91,774 per annum) at a point in line with current Government pay policy. monthly/weekly payscales. (tcd.ie) How to apply: To assist the selection process, applicants should submit
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to the teaching of modern history on the Department’s undergraduate and postgraduate programmes, and to supervise postgraduate research in their area of expertise. The successful applicant will have a PhD in
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, making use of intelligent AI-driven control planes. The applicants should have a solid theoretical background on machine learning, optical networks and fibre sensing and be willing to engage in testbed