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of Computer Science (DCS) investigates and contributes to shaping the information and communication technology-society interface. DCS promotes interdisciplinary research and closely cooperates with other high-profile
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to constitute a hospital-university institute (IHU) from 2025. This Institut reConnect will tackle the topic of big data in audio-vestibular patients and the work performed by the engineer will form a solid basis
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team composed of researchers, engineers, bioinformaticians, biostatisticians and a project manager. The ideal candidate should hold a Ph.D. in Population genomics, Statistical Genomics, Evolutionary
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
scientific fields Expertise in tissue engineering will be an asset. Good communication skills in spoken and written English are essential. Application: Interested candidates can submit their application with a
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the Spintronics and Component Technology Laboratory (SPINTEC) and micro- and nanomagnetism at the Institut Néel. We expect that the candidate has knowledge and practical experience of micromagnetic simulations
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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