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including e.g. bus routing or energy networks, large-scale machine learning, and cybersecurity aligning with the missions of the Institute within the context of the Resilience Plan of the government. CyI
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interdisciplinary research team at the Computation-based Science and Technology Research Centre (CaSToRC). The successful candidate will pursue Research & Development (R&D) in the areas of Machine Learning (ML) and
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conferences and journals. The required skills and expertise for the announced position include following: Proficiency in networked systems security. Experience with anomaly detection using Machine Learning
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the following areas: Mathematical Optimization Systems and Control Theory Machine Learning Operation planning of Unmanned Aerial Vehicles Intelligent Transportation Systems/Traffic Management Expertise
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analysis and/or machine learning frameworks such as R or PyTorch. Experience with processing large and noisy datasets. At least 3-years of relevant experience (including PhD research). Ability to present
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of the research team. • Writing of at least one (1) Research proposal in collaboration with the head professor of the Chair. NECESSARY QUALIFICATIONS • Candidates must have a PhD in one of the following or related