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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 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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for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 2 pages) Short letter of motivation (1 page) Any publications or other
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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 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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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, including emerging
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
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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
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for cyber-range scenario generation A Design Science Approach to Bridging Operational Cyber Detection and Strategic Crisis Management Duties of the position Complete doctoral education and obtain a doctorate
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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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of AI models for the design and optimisation of integrated energy systems in public buildings. They will analyse heterogeneous datasets, create realistic what-if scenario analyses, and develop trustworthy