21 scholarship-phd-agent-based-modelling Postdoctoral positions at MAYNOOTH UNIVERSITY
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Devices (TRAD), funded by Research Ireland. The position is under the direct supervision of Dr. Abeer Eshra and co-supervised by Prof. Damien Woods. It will be based at the Hamilton Institute with a
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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
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of the person appointed will be to evaluate the mode of action of novel metal based antifungal agents and to assist in the development of these for pulmonary delivery. Post Doctoral Researcher (2025) Salary Scale
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Devices (TRAD), funded by Research Ireland. The position is under the direct supervision of Dr. Abeer Eshra and co-supervised by Prof. Damien Woods. It will be based at the Hamilton Institute with a
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Thorne and Dr. Amr Mahfouz, together with a PhD researcher to deliver the project.. The EXACT project The EXACT project seeks to advance understanding of climate change impacts on extremes in Ireland. It
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with the PI Prof. Conor Murphy, and collaborators Prof. Peter Thorne and Dr. Amr Mahfouz, together with a PhD researcher to deliver the project.. The EXACT project The EXACT project seeks to advance
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Department: History Vacancy ID: 037163 Closing Date: 03-Oct-2025 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and
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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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in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking a full-time post-doctoral researcher to work
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to drive the research, support AFI and manage the programme, is to examine existing and develop future data management / governance approaches. Aim is to optimize the shared service model enabled by improved