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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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, but are not limited to, neural coding in the visual cortex, multimodal information processing, state-dependent processing, visual perception, development of imaging tools for in vivo neuronal recordings
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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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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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The project will be developed in the host laboratory(SIMHEL/U978) whose main pathophysiological models are two CD5+chronic B cell neoplasms (chronic lymphocytic leukemiaand mantle cell lymphoma
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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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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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are responsible for blood and immune cell production during development. We will now establish how these transient embryonic progenitors and their progeny respond to prenatal challenges, convey persistent
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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