26 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "P" positions at Maynooth University in Ireland
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
experienced Programme Manager to provide strategic leadership for the RENEW project, a Research Ireland National Challenge Fund initiative currently in the final prize phase of its funding. This senior role
-
p. a. (1 point - with increment) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday8th March, 2026. Please note all
-
research team at the Computer Science Department wishes to recruit an Electronics Technician on a half-time basis to work with them on a commercialization project for a local company. The duration
-
Wakefulness and Sleep”, in the Respiratory Physiology and Sleep Laboratory, Maynooth University. The Laboratory is a newly-established facility and research programme, led by Professor Philip Nolan (https
-
2026. Please note all applications must be made via our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies Applications must be submitted by
-
publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and
-
Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
-
are seeking an experienced Web Developer to work with the technical team to develop innovative Emergency Response tools. This work is supported by the Enterprise Ireland Commercialisation Fund Programme through
-
programme designed to develop highly skilled, ethical, and reflective educational psychologists. The programme is grounded in Maynooth University's core values, with a strong emphasis on equality
-
Ireland Pathways programme and will focus on the development of predictive computational models for advanced functional materials for electrochemical energy applications, with particular emphasis on polymer