Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of the process. Informal inquiries can be made in confidence to Dr Ann Kirby, Senior Lecturer, Department of Economics, Cork University Business School, Tel: + 353 (0) 21 4903679; Email: [email protected]
-
Science / Engineering, Electronic Engineering or a closely related discipline, with a good track record of original research publications. The successful candidates will have experience in artificial intelligence, deep
-
email addresses) to: Professor Deirdre Connolly at [email protected]. Please specify ‘Post Doc position CanWork’ in the subject box. Closing Date: 28 August 2026, 12 noon Our Values - putting our words
-
School of Pharmacy; Email: [email protected] For further information on the hiring unit, please see: APC Microbiome Ireland - University College Cork - Teagasc: https://www.ucc.ie/en/apc/ University College
-
to Prof John F. Cryan, Professor, Dept Anatomy & Neuroscience and Principal Investigator APC Microbiome Ireland, Tel: + 353 (0) 21 4205426; Email: [email protected] or Dr. Lamya’a M. Dawud, Lab Manager and
-
of Engineering University of Limerick Email: [email protected] The closing date for receipt of applications is Monday, 13th July 2026. Applications must be completed online before 12 noon, Irish Standard Time
-
to Prof. Liam O’Mahony, APC Microbiome Ireland; Email: [email protected] For further information on APC Microbiome Ireland, pease visit https://ucc.ie/en/apc/ University College Cork is committed to being
-
to make an additional appointment(s) from this competition following the conclusion of the process. Informal inquiries can be made in confidence to Prof. Liam O’Mahony, APC Microbiome Ireland; Email
-
the names and contact details of 2 referees (including email addresses), and a Cover Letter (2 x A4 pages max.) setting out your motivation, career fit, and suitability for this position to:- Professor Iris
-
police clearance check may form part of the selection process. Project: Towards Personalised Clinical Management of Suicide Risk through Data-Driven Clinical Decision Support using Transnational Electronic