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, we take a systemic approach and study the interconnectedness of human activities and the environment. Our mission is to develop sustainable, socially just, and environmentally friendly solutions by
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domains, fostering the acquisition of horizontal skills around presentation & communication skills, scientific English, protocol development, data evaluation, and training in Nutrition. A close link to lab
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. The objective of this postdoctoral project is to develop a unified, AI-compatible framework for non-neural behavior based on dynamical systems and learning. Behaviors will be modeled as low-dimensional dynamical
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. Côte d’Azur & INRIA), will be focused on the development and the understanding of deep latent variables models for unsupervised learning with massive heterogenous data. Although deep learning methods and
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typically around 200nm in the transverse plane and 400nm in the optical axis. Over the recent years, several super-resolution techniques have been developed to overcome this drawback. Among them we focus
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to extending GTC to handle multiple energetic particle species, instead of a single one. This development will provide both experience with the code structure and insight into the physics of isolated ITG
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safety-critical tasks, such as healthcare or automated vehicles, where trustworthy models are required. The existing literature for the OoD detection problem focuses on the development of confidence scores
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(UCA). He leads the eBRAIN research group and develops a interdisciplinary research activity on embedded Bio-inspiRed AI and Neuromorphic architectures, especially based on SNNs. LEAT is a mixt research
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modeling the dynamic of the data evolution is clearly important. The purpose of this postdoc position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused on the development and
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techniques and the structure of bilevel problems in large-scale settings. Objectives The goal of this postdoctoral project is to develop scalable blackbox optimization algorithms tailored to bilevel problems