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Field
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-fostering prototypes through co-design with children, creating evaluation frameworks to assess children's algorithmic agency in educational contexts, and establishing design principles that prioritize
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to) fundamental research in machine learning or statistics, algorithm design, the application of AI methods in science, healthcare, social sciences, or business. You should have a PhD or equivalent level of
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, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain
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please contact Dr Tiffeny James on tiffeny.james@gre.ac.uk or Prof Andrew Clark on andrew.clark@gre.ac.uk Should you have any queries please contact the People Directorate Team on peoplesoperationsFEHHS
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enquiries may be addressed to Prof Craig Vear at craig.vear@nottingham.ac.uk . Please note that applications sent directly to this email address will not be accepted. Our university is a supportive
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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model checkers; proofs of safety and/or security properties; programming languages and/or type systems; concurrent and/or distributed algorithms; and related topics. The successful applicant will work in
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof. T. Carlomagno) Contribute to writing bids for research funding Acquire, analyse
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project. Role Summary We are seeking to recruit a Research Fellow at the School of Dentistry, University of Birmingham, with state of the art research facilities, working with Prof. Gabriel Landini and Dr