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for robot intelligence, with applications that naturally extend to marine and maritime domains. You will work closely with colleagues across the department and engage in strong collaborations with academic
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-FNR PEARL Research Grant in the area of Information Systems Engineering, and, depending on interest, in fields, such as Generative AI & Machine Learning, Data Privacy, Cyber Security, Digital Identities
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analytics Exploring and implementing federated learning and privacy-preserving AI approaches for distributed clinical datasets Collaborating closely with data providers, clinicians, and technical teams
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communicated and acted upon. Led by De Montfort University in collaboration with the University of Birmingham, Nottingham Trent University, the University of Oxford (Ashmolean Museum), and Western University
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
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with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment
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professional education. It offers an intellectually vibrant and collaborative environment that supports impactful scholarship and fosters the next generation of communication researchers and professionals
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Review Date: (To ensure consideration, please submit all application materials before review date) 03/13/2026 Posting Close Date Open Until Filled Yes Description of Work Recognizing that collaboration and
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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences