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., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1833. Springer, Cham. https://doi.org/10.1007/978-3-031-35992-7_2 Familoni
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physical computing systems design. Our infrastructure supports disciplines ranging from engineering and physics to life sciences, climate modelling, machine learning and computer vision, and wider data
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We are seeking a Research Associate with expertise in machine learning and causal inference to join the University of Manchester spoke of “CHAI hub: Causality in Healthcare and AI”. The CHAI hub
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team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In addition to their research work, candidates assist and
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
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in the field, including the application to artificial intelligence and machine learning. We consider computer science challenges from a broad perspective. Members of the department regularly publish in
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Interaction and physical computing. Supervise postgraduate research students working on topics related to hardware, fabrication and/or interactive systems. Teach effectively across the full curriculum
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of Professor Ed Tate at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning
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of Professor Ed Tate at Imperial College London. This role will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning
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an international research profile in areas such as: Systems security, Security engineering, Security testing, Computer forensics, AI for security and privacy, Security and privacy of AI. Our department addresses