10 component-labeling-agorithm-cuda Postdoctoral positions at MAYNOOTH UNIVERSITY in Ireland
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outstanding education are interlinked and equally valued. We are seeking a highly motivated Postdoctoral Researcher to join a Research Ireland-funded research project, part of an internationally collaborative
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an economic perspective. The candidate will be part of the project’s multi country, multi university consortium and will have the opportunities to co-lead the development of deliverables and present project
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Application Deadline 6 Apr 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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desirable. Overview of the SWINS Project The structural challenges and shocks Europe has experienced over the past 15 years are not isolated events. Rather, they are part of a transformative phase of European
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scholarship and outstanding education are interlinked and equally valued. We are seeking a postdoctoral researcher (part-time) to manage and support the development of an Erasmus+ Capacity Building in Higher
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including prison officers, psychologists, and others. The post-doctoral researcher will be an integral part of a mixed methods two-year study with a Research Team led by Principal Investigator, Dr Joe Garrihy
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Ireland). The response of atmospheric circulation to warming is one of the least certain aspects of climate science, due in part to a spread between model simulations of the storm track and uncertainty
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-added products. The candidate will be part of the project’s multi university, muti industry partner consortium and will have the opportunities to co-lead the development of deliverables and present
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join our team, focusing on the commercialization of renewable energy innovations as part of the Research Ireland project RENEW. This role combines technical expertise in system enhancement and machine
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funded project (HoStIr: Holocene Storminess in Ireland). The response of atmospheric circulation to warming is one of the least certain aspects of climate science, due in part to a spread between model