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] and taphonomy of animal bones [Cifuentes-Alcobendas and Dom´ınguez-Rodrigo, 2019] are gradually intensifying. Thus, the present PhD project is an opportunity for the development of original ML solutions
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only to healthy knee bone structures in the context of elective orthopedic surgery [5, 6]. Moreover, many of these models are developed by private companies for implant placement, limiting accessibility
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Pasteur. Developing tools and applications to be shared with the broader scientific community Interacting directly with scientist upon specific inquiries As part of a PEPR (Programmes et Equipements
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Description of the offer : The aim of this project is to develop a digital twin for spintronics - a platform for simulating and characterising a magnetic object from its theoretical design through
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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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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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educate the community; Extend and adapt contain of the Braincoach app, a dedicated application. Advertise and campaign, inform the general public, physicians and partners interested in the application
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non-redundant collection of data for each new case of cancer (excluded non melanoma skin cancer). The RNC is aimed at providing an objective analysis of cancer evolution in Luxembourg, and enables
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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
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the development of more efficient online learning algorithms for manifold-valued data streams, with an initial focus on change-point detection, opening the door to new unsupervised data exploration methods. Next