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, materials science, and artificial intelligence. What we expect Applicants should hold a PhD in electronic engineering (the degree should have been completed within the last 5 years at most): Strong background
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research project AI in the News Ecosystem: Navigating Trust and Authenticity (AINATA). The AINATA project explores how artificial intelligence (AI) impacts trust and authenticity in the news ecosystem. It
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10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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groundbreaking ATHENA project (Artificial Intelligence Towards Holistic Evaluation of Skin Nanotexture Alterations). This international collaborative project aims to develop novel diagnostic tools for various skin
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and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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Job Description We are seeking a highly motivated experimentalist to develop and implement innovative strategies for protein expression and screening, supporting the integration of artificial
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agents, large language models, and artificial intelligence more broadly. The ideal candidate would have prior experience in the design and evaluation of interactive artefacts and have published their work
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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technologies, including conversational agents, large language models, and artificial intelligence more broadly. The ideal candidate would have prior experience in the design and evaluation of interactive
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted