34 web-programmer-developer "https:" "https:" "https:" "UCL" "UCL" positions at Maynooth University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
candidate should possess a demonstrated track record in teaching, research, and publication that aligns with their career stage. They will be expected to make a strong contribution to the teaching programme
-
programmes, and widening our research impact in this field. This is an opportunity for you to shape our research, teaching and impact in the field of Healthcare Management. You will be embedded in a large
-
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
-
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 the closing date and time
-
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
-
. The University Tutor in Department of Biology will play an important role in the delivery of the Department’s degree programmes and will be appointed for the primary purpose of contributing to teaching within a
-
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