81 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Ulster University
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as part of TRACE (Technological Revolution towards an Agri-food Circular Economy), a €5.89m cross-border project supported by the European Union’s PEACEPLUS Programme and managed by the Special EU
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. These benchmarks will help build confidence in the technology and support its adoption. The research will focus on: Pre-treatment and characterisation of the electrolysis process from FVW Modelling the entire green
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Summary Positioned within Ulster University’s School of Computing, this research theme focuses on harnessing artificial intelligence and spectral technologies to strengthen food integrity and
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to better understand what motivates or hinders action and will identify potential strategies that could help more pharmacies become environmentally sustainable. This is an exciting opportunity for someone
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framework for undertaking effective reviews of national prison library services: Design of an inclusive methodology for the Irish Prison Library Review. Library and Information Science Research, 47(2). Bates
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miRNAs that remain poorly investigated in relation to prostate cancer and which therefore offer exciting possibility for novel discoveries. Better understanding of their function will in turn help explore
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). *Benchmark best practices from leading distilling nations such as Scotland, Japan, and the USA. *Develop a bespoke MI framework to help NI distillers strengthen their export strategies and international
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cardiologist, respectively from Musgrave Park hospital and the Southern Trust. These clinicians will advise on relevant injury scenarios and therefore assist with identifying designs adaptable to commercial US
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generator (Python toolkit), evaluation metrics suite, and academic papers in top finance and information systems venues. We welcome applicants with backgrounds in computer science, data science, or
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R