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for adaptive immunity, anti-infectious vaccines and vaccine technology. Motivation to work with pre-clinical model of vaccination and infection based on animal experimentation. English speaking and
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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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modifications transcriptome-wide using long-read sequencing (Nanopore technology) using a METTL3 shRNA-based approach [15] and an alternative de novo approach within filtered DRACH motifs [17] and/or m6RIP-seq
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Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
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established expertise. In particular, this research work will build on breakthrough technology developed by the research team through the SequoIA startup initiative, currently in its prematuration phase
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@inserm.fr with CC to stephanie.chambaud@u paris.fr and charlotte.bouquerel@u-paris.fr, including: • A detailed CV (including a complete list of publications). • A 2-page statement on past and current research
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shared with the broader scientific community. As the head of the Algorithmics, AI, and Mathematical Modeling group within the Bioinformatics and Biostatistics Hub, the recruited engineer will focus
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this technology for capturing and processing the pulse of a city. In particular, in many applications, DAS suffers from the multi-source aliasing problem and low-frequency noise, especially in noisy environments
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine