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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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through innovative solutions. Coordinated by Prof. Francesco Vitti from the Engineering department, NEXTLOGIC is funded under the HORIZON-MISS-2024-CIT-01 call: Changing urban spaces and mindsets
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work will be organized around the following areas: 1. Bee detection and tracking: Development of computer vision algorithms to identify and track each bee from high-resolution images, while
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of the biomedical research required, but a willingness to work as part of an interdisciplinary team is essential Ability to handle multiple assignments at one time while working independently and effectively under
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. Indeed, when multiple sources exist in the vicinity of a same sensing unit, their signatures mix and estimation of individual sources is disturbed by the other co-occurring sources. The aim of the doctoral
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) For further information about the role, please contact Prof. Dr. Jean-Sébastien Coron, Head of the Department of Computer Science, Email: jean- Your profile A PhD degree in Computer Science or a closely related
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team! Your personal sphere of influence: As a pre-doc university assistant at the Department of Romance Studies, you will be involved in research and teaching activities in the team of Prof. Dr. Albert
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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candidates may be asked to teach: Introductory programming classes Core undergraduate CS classes such as: Human Computer Interaction, Database Applications, Algorithms and Data Structures, Software engineering
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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