35 evolution-"https:" "https:" "https:" "https:" "https:" "https:" positions at University of Limerick in Ireland
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Applications are invited for the following position: Title of Post: Post Doctoral Researcher (Level 1) Tourism Policy Data Analysis and Dashboard Development JOB SYNOPSIS The Post Doctoral
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Applications are invited for the following position: Title of Post: Research Fellow in Best-Practice AI-Supported Code Development Pedagogy JOB SYNOPSIS The successful candidate will design and
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language models, multi-agent systems, reinforcement learning and knowledge evolution, evaluated using industry operational datasets. These positions offer an opportunity to advance autonomous decision-making
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an advantage, particularly on product/process development. Faculty of Science & Engineering Department of Chemical Sciences Contract Type: Specific Purpose Salary Scale: Post Doctoral Researcher (Level 1
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for receipt of applications is Monday, 12th October 2026 Applications must be completed online before 12 noon, Irish Standard Time on the closing date. “This is a professional training and development role and
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focuses on software development using LLM-generated code. It will evaluate students’ ability to evaluate the correctness and computational efficiency of LLM-generated code, including whether more efficient
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applications is Monday, 28th September 2026. Applications must be completed online before 12 noon, Irish Standard Time on the closing date. “This is a professional training and development role and the training
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Time on the closing date. “This is a professional training and development role and the training and development relevant to this position will be completed within the period of the contract. Post
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training and development role and the training and development relevant to this position will be completed within the period of the contract. Post Doctoral Researchers appointed will be expected to complete
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, University of Limerick, seeks a Research Assistant in Spatial Cancer Biology to support the development of advanced digital pathology capabilities using the Akoya Phenocycler-FUSION platform. The successful