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for the technical development of the PRADA tool, an understanding of or experience with AI, digital apps and software algorithms would be desirable, as would an understanding of major depression and its
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, professional qualifications, or other training. Excellent interpersonal skills, with the ability to communicate and distribute information clearly Ability to build and engage with internal and external networks
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ecosystems. Fairness, safety, interpretability and trust in AI algorithms and AI-based technologies. Applications with healthcare, energy, sustainability, business analytics, etc. Candidates are expected
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of contact for managing finances, data, and the distribution of funds to partners and collaborators. As well as working collaboratively with other members of the team to meet the project’s objectives
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will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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Learning or Machine Learning algorithms Experience applying quality system standards, software development standards and regulation, e.g. ISO 13485, IEC 62304, MDD, and MDR Experience working within a team
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work is not evenly distributed across the 6 months duration of the fixed-term contract and PGTAs are expected to work flexibly to accommodate the delivery of teaching and the timely completion of marking
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range of computing subjects, including Cyber Security, Programming, Algorithms, Computer Logic and Architecture, Software Engineering, Database Design, both at undergraduate and postgraduate level
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EDGE Create a library of promotional materials to distribute to potential licensees Contribute to, and lead, the dissemination of results from the project. Contribute to identifying business