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the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited. The purpose of this PhD thesis is to develop
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fields for several applications in the field of computer vision and inverse problem [SLX+21]. As far as the modeling of data term between distributions is concerned, one idea would be also to follow
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flexibly deployed and executed in distributed systems. Environment (partners, places, specific tools and hardware) At IMT Atlantique, the PhD student will be part of the STACK team, a leading team on
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domain. Work in computer networks and computers. Cloud computing drastically changed how software is developed and deployed. Nowadays cloud applications are designed as distributed systems continuously
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
and organic waste) of which the properties are different and subject to seasonal and climatic variations. For the bioeconomy, it is therefore necessary to sort biomass sources according to the target
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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NeuroSchool, Aix-Marseille Université | Marseille, Provence Alpes Cote d Azur | France | 3 months ago
and for international co-supervised PhDs. This project is one of the proposed projects. Not all proposed projects will be funded, check our website for details. State of the Art Social interactions
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Description This PhD project bridges computational neuroscience and machine learning to study the mechanisms of active forgetting—or unlearning—through the lens of both biological and artificial systems
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arrival. By joining our team, you'll have the opportunity to contribute to the future of real-time verification, making a meaningful difference in the world of distributed systems. If you're passionate