The Zamorano Pan-American Agricultural School

Department: School of Celtic Studies Vacancy ID; 040824 Closing Date: 16-Apr-2026Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an experienced postdoctoral researcher for the research project DiAgnostic – Tracing Diatopic Variation in a Corpus of Old Irish. This project is conducted with the financial support of an Advanced Laureate Award from Taighde Éireann – Research Ireland under Grant number IRCLA/2023/ 2124 and is led by Professor David Stifter. DiAgnostic aims at making methodological progress in trying to answer the question if the Early Irish language, especially in its Old Irish form, showed regional diversi­fication, i.e. dialects. We expect to make a significant contribution to the de­scription and the under­stand­ing of the development of the Early Irish language and of its socio­his­to­rical context, including implica­tions for its prehistory. Work is carried out primarily within the discipline of historical linguistics with a strong em­phasis on methods of digital humanities, but other aspects of linguistics such as syntactic theory, sociolinguistics, and the philology of Early Irish texts play a role as well. The position of the postdoctoral researcher will involve adding data to the project database Corpus PalaeoHibernicum (CorPH), in particular with regard to filling gaps among the major contemporaneous sources of Old Irish, as well as assisting in and contributing to other project deliverables.  Salary: Post Doctoral Researcher (2026): €46,805 p.a. pro-rata (Point 1) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Thursday 16th April 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Ref.: 534928 Work type: Full-time Department: Department of Pathology, School of Clinical Medicine (21200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointments as Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine (several posts) (Ref.: 534928), to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images and genomics data. Enquiries about the duties of the post should be sent to Dr. Maximus Yeung at mcfyeung@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until June 30, 2026, or until the posts are filled, whichever is earlier.

The successful candidate will provide administrative and operational support for the financial administration of externally funded research grants across both pre award and post award stages of the research lifecycle. They will assist the Research Grants Supervisor / Manager with the costing, preparation, and submission of research funding applications, ensuring required financial information is entered accurately into relevant systems and templates. In addition they will support with the set up of new research projects on university finance and research systems, ensuring that records are complete, accurate, and supported by appropriate documentation. About the person: The successful candidate will have: 5 GCSE’s (including Mathematics and English). Strong experience in using spreadsheets for data analysis, including extracting data, performing reconciliations, and ensuring accuracy across datasets. Experience working with large, integrated finance or research management systems, with confidence navigating and updating digital records. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. What we offer: Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website. Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality, Diversity and Inclusion, please visit our website. If you are an international applicant and don't already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application.