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hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between
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monitoring. Design and implement machine learning models to analyze multimodal data (e.g., student behavior, engagement, and performance) to enhance personalized learning. Develop and evaluate GPT-powered AI
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systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding
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or more research projects supported by ongoing grants (see ICL: Research ). Candidates will be responsible for conducting research in the areas of theoretical and statistical modeling of human visual
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will contribute to the development of novel concepts and proposal writing, while efficiently addressing complex challenges. Responsibilities will include writing reports, authoring publications, drafting
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after memory is established. ? Numerical analysis of complex data sets to evaluate the neural representation of information in the physiological recordings above. ? Collaboration
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ecological systems with frequency-dependent selection. Planned projects use dynamical systems, stochastic differential equations and agent-based models, statistical methods for parameter inference, network and
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/photometric data analysis, and spectral modelling, are strongly encouraged to apply. Successful candidates will be encouraged to develop independent projects in addition to supporting the research of the PI