125 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" positions at Nottingham Trent University
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practices produced with the help of computer algorithms challenge, subvert and threaten the modernist concept of the author. AI generated creative practices have the capacity to seriously disrupt established
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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About the Role We’re looking for a Full-Stack Developer who thrives in an AI-native environment - someone who embraces code generation, intelligent tooling, and automation as the norm, not the exception. If you already rely on tools like Cursor, Windsurf, Loveable, Bolt, or similar platforms to...
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Local Area Energy Plans (LAEPs) for the region What is Collaboratory? Collaboratory is a new research programme, led by Universities for Nottingham and the Leicester Universities Partnership, that places
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About the Role We are seeking an experienced and strategic leader to drive the development and performance of NTU’s course portfolio, influencing all aspects of our academic offer to ensure courses align with NTU’s strategic objectives, delivering great outcomes for our students. You will lead...
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, including the England International Teams, The Premier League, The English Football League, and The Women’s Super League. This long-term involvement has not only provided the NTU team with advanced technical
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, business, management, data/computer science, or a related field. We especially encourage candidates with strong quantitative skills in R or Python, though proficiency in other tools such as SPSS, Stata
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Are you experienced in data inputting and data management? Do you have excellent attention to detail? If yes, we would love to hear from you! If you are experienced in records and data administration and processing, committed to ensuring systems and processes are streamlined and efficient,...
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Economics, 1-22. https://doi.org/10.1007/S11187-020-00359-3. Liu, Q., Chan, K. C., & Chimhundu, R. (2024). Fintech research: systematic mapping, classification, and future directions. Financial Innovation, 10
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practitioner taught postgraduate courses and a strong research degrees programme. The School has over 100 academic staff and in excess of 2,500 students of whom over 500 are students studying on postgraduate