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and/or uncertainty-aware mathematical optimization and control, machine learning and uncertainty quantification with application to intelligent transportation systems and UAV operational planning
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. Implement research studies on hydraulic and water quality modeling using real and simulated data. Employ advanced statistical methods and/or machine learning techniques for data analysis. Design 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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to: Conduct research in the area of smart water and environmental systems, within the context of research, innovation, and industrial projects. Use machine learning and artificial intelligence and/or
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collaboration with experts (e.g., machine learning, optimization algorithms). Support and maintenance of open-source libraries used by the scientific community (e.g., the epyt Python package, QGIS plugins
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Center of Excellence in one or more of the following thematic areas: Control systems, computational intelligence and machine learning, autonomous systems, optimization and networks, embedded and real-time
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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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Engineering, Electronics, Computer Science, Computer Engineering, Mechanical Engineering, Physics, with a grade of at least a 2.1 class or equivalent. ADDITIONAL QUALIFICATIONS: Experience in any
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Engineering, Electronics, Computer Science, Computer Engineering, Mechanical Engineering, Physics, with a grade of at least a 2.1 class or equivalent. Doctorate degree. ADDITIONAL QUALIFICATIONS: Experience in
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fields: Landscape archaeology, geosciences (e.g. topography, geology, environment, etc.), natural sciences, computer sciences, Computer Informatics • The doctoral degree should come from a recognised