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Robotic Systems, including computer vision (including video analysis and 3D reconstruction), machine learning (including big data analytics and adversarial machine learning), natural language processing
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testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related discipline. Applicants are expected to hold or achieve Advance HE Associate Fellowship
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members, postdocs and PhDs working on diverse fundamental and application-oriented topics in the fields of control and systems theory, cyber-physical systems, optimization, artificial intelligence, machine
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assets Practical experience in fuzzing or cybersecurity testing. Familiarity with machine learning concepts or AI platforms. Curiosity, creativity, and the drive to explore new research ideas. We offer
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skills and a keen interest in application-oriented academic research in applied machine learning. The selected candidate will conduct a research project on data-driven fraud detection, with the objective
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(I3S), Sophia Antipolis Hosting lab: I3S & INRIA UniCA Apply by sending an email directly to the supervisor: emanuele.natale@univ-cotedazur.fr Primary discipline: Machine Learning Secondary discipline
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specializing in the medical or biomedical sciences, with demonstrated excellence in both methodological research and clinical application of artificial intelligence and machine learning (ML). The candidate will
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electronics Prepare the syllabus and lecture materials for the MSc course. Meeting the learning outcomes of the MSc course. Provide reading list for the MSc course. Provide consultation to the students where
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Data Core services, including high-performance computing pipelines and large-scale GPU resources, to scale LLM development and deployment. Your profile PhD in machine learning, computer science
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic