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Field
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-based artificial intelligence (AI) methods for detecting clinical worsening in mental illness. A preference will be given to those with demonstrated research interests in speech and / or neurotechnologies
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. This is a hands-on opportunity to shape the future of decision support tools that balance human control with scalable artificial intelligence (AI) solutions. You’ll work on cutting-edge projects—designing
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assigned by the Director of the LEO Dr. David P. Chan Institute of Data Science. General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science
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of the following areas: Artificial Intelligence, Quantum Technologies and Autonomous Vehicles. Recent relevant experience to include: Software development for real-world applications or simulation Demonstrable
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in computational methods, artificial intelligence (AI), and extended reality (XR). Design++ fosters cross-departmental research, education, and industry collaboration to drive transformative change in
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especially on ICT, artificial intelligence, eLearning and eHealth. The department has successfully led a number of large research projects funded by the Research Council of Norway, the EU research programmes
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Communications Research Centre, project EPROCESS EXTENSIONS financed by the Polytechnic of Leiria, in the following terms: . SCIENTIFIC AREA: Enterprise Architectures and Artificial Intelligence. . RECIPIENTS
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environment and field experiments to investigate how beneficial microbiota enhance crop resilience to disease and climate stress. Apply advanced tools such as metagenomics, metabolomics, artificial intelligence
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The School of Management in areas relating to Digital Futures, including courses involving artificial intelligence, behavioural science, and cybersecurity, with close links to industry and public sector
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contribute to a new research project on Artificial Intelligence (AI) for mental health. Key Responsibilities: Lead and conduct research on AI-mediated communication in emotional and mental health contexts