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-reviewed publications in leading machine learning and interdisciplinary venues, open-source software tools, and collaborative research initiatives. The successful candidate will also contribute
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-reviewed publications in leading machine learning and interdisciplinary venues, open-source software tools, and collaborative research initiatives. The successful candidate will also contribute
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-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position will involve collaborating with faculty and graduate students on interdisciplinary research
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seminars, workshops, and collaborative initiatives. Mentor graduate and undergraduate students involved in research activities. Teach up to one course per academic year, depending on departmental needs
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enterprises (SMEs). The postdoc will work at the intersection of cybersecurity, machine learning, and human centered system design, contributing to the research on privacy aware monitoring, attacker modelling
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
. Develop and evaluate GPT-powered AI tutor systems, integrating insights from classroom data to deliver individualized learning experiences. Collaborate with interdisciplinary teams to create interactive
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, research and innovation. As part of the Autonomous Pack project led by packaging tracking start-up GoodFloow, in collaboration with researchers at IMT, INRIA and IRCICA, and which aims to develop reusable
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learning, and AI applications in radiology. The research area includes innovative work on developing Deep Learning Based Image reconstruction in CT on Photon Counting Detector CT with work in collaboration
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function. This role involves developing computational models, connectome analyses, and theoretical approaches using published and ongoing neuroscience datasets. The associates will collaborate with
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and