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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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information design, (iv) strategic communication on networks, (v) information transmission with coarse messages. The post-doctoral researcher will participate in the scientific activities of the ANR SCOCOS team
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technical excellence at the service of education, research, and innovation. As part of the project led by the SOTERN team in connection with the CREACHLABS grant—which aims to reconstruct, at the network
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“language interactions in general practice and social inequalities in health”). - Participate in the scientific activities of the Gendhi project. Serve as a liaison between the ERC Gendhi, the host laboratory
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. Proficiency in English (working language). What We Offer A research program linking senescence, tissue repair, tumorigenesis, and aging A collaborative, international, and supportive lab culture. Access
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preparation of scientific publications related to the project. The postdoc will work in close collaboration with a network of bioinformaticians specializing in the design and development of data analysis
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and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
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age group in France, from new comprehensive community surveillance system RELAB, vi) studying how heterogeneous contacts in a population can affect estimates of variant growth advantage. Successful