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dynamic range or polarization diversity. Operation in harsh conditions or challenging environments is therefore often very challenging. In this PhD, you will contribute to research that explores how
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Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Background: PhD in aeroacoustics for wind turbines. Required knowledge: Computational Fluid Dynamics
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PhD candidate within the VAPOD research project. The project aims to investigate the temporal dynamics of sustained attention and its determinants. The research will involve prolonged vigilance and
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of synchronisation and complex dynamical systems; • Ability to work independently while contributing effectively to an interdisciplinary team. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5263
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magnitude, spatial distribution and temporal dynamics of mechanical cues shape cellular responses. You will investigate an integrated cell–material system in which living cells are mechanically coupled to a
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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
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, thermal, and flow management to longer-term production scheduling and energy-system operation — connecting fast system dynamics with slower operational decisions. Develop optimization strategies to improve
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shape relational aspects of work. Identify the mechanisms through which AI-mediated contributions and autonomous agents reshape relational dynamics, and develop evidence-based guidance for responsible and
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highly dynamic research institute with a strong focus on immunology. It provides excellent scientific training through seminars by internationally renowned speakers, specialized courses, and an annual