61 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions at MAYNOOTH UNIVERSITY
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16 Sep 2025 Job Information Organisation/Company MAYNOOTH UNIVERSITY Research Field Computer science Researcher Profile Leading Researcher (R4) Country Ireland Application Deadline 12 Oct 2025 - 00
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Department: Computer Science Vacancy ID: 037603 Closing Date: 12-Oct-2025 Maynooth University is committed to a strategy in which the primary University goals of excellent research, scholarship and
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administrative service to Prof. Dónal Hassett, Prof. Raul Carstocea and other competitive research grant holders. Day to day activities will involve work with systems that have been established for administering
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Department: Computer Science Vacancy ID: 036182 Closing Date: 20-Jul-2025 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship
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Deadline 26 Oct 2025 - 00:00 (UTC) Type of Contract Other Job 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
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Deadline 28 Sep 2025 - 00:00 (UTC) Type of Contract Temporary Job 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
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agreement No 2024-1127, part of the TRANSLATE project delivering state of the art climate services for Ireland. The successful candidate will work with the PI Prof. Conor Murphy, and collaborators Prof. Peter
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Department: Computer Science Vacancy ID: 036943 Closing Date: 31-Aug-2025 We are seeking an experienced Earth Observation and Modelling scientist who has knowledge of, and expertise in analysing
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Department: Hamilton Institute Vacancy ID: 037143 Closing Date: 09-Sep-2025 We are seeking a Postdoctoral Researcher to work on the project Thermally-regulated Renewable and Automated DNA Computing
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-supervised by Prof. Damien Woods. It will be based at the Hamilton Institute with a possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches