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Mechanisms for Vehicular Networks Summary of the Scholarship Objectives: The scholarship aims to design, implement, and evaluate optimization solutions for vehicular networks based on Reinforcement Learning
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on automation, robotics, mechatronic design, sensor integration, and intelligent experimental systems required for scalable operation of the platform. Duties of the position Complete the doctoral education
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firmware design. Contact: Massimo Gottardi (FBK), Giampietro Tecchiolli (AI4IV) Where to apply Website https://phd.fbk.eu/calls/detail/mixed-analog-digital-cmos-architectures-for-ai-… Requirements Research
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. The Department of Architecture and Planning is one of four departments in the Faculty of Architecture and Design Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/307613/phd-candidate-in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
(Lille) and LIRMM (Montpellier), two French research groups with worldwide recognition in compliant robotics and high-speed manipulation. The thesis will be co-supervised by researchers from both
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the doctoral programme and the host research unit. 2. Research plan to be developed for the remainder of the PhD programme: - Task 1: Research design, territorial baseline and initial data collection - Task 2
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and control, equipment diagnostics, environmental adaptation, and human activity recognition. Moreover, integrating acoustic information with complementary sensing modalities has the potential to unlock
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and research, in and outside academia. The Software Engineering group conducts research in a wide range of topics related to design, development, verification, and operation of complex software systems
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above Academic publications and popular science dissemination Participate in the research group Critical Infrastructure Security and Resilience (https://www.ntnu.edu/iik/cisar ) Participate in
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exercise scenarios in cyber ranges Cyber ranges and security testbeds Evaluating ASCERT: generative AI for cyber-range scenario generation A Design Science Approach to Bridging Operational Cyber Detection