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Field
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will be involved in the development of MKID detectors. Close interaction with the teams involved in the AMINO project is also necessary in order to properly define the algorithms required for data
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rely on the development of models integrating different data sources, initially based on data simulations, consistent with the data sets that are actually available or planned for acquisition, as
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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SouchesCountryFranceCityPARIS 15Geofield Contact City PARIS 15 Website https://research.pasteur.fr/en/team/genetic-molecular-and-cellular-bases-of-development/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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combine teaching and research responsibilities, with a primary emphasis on teaching. Engagement in professional clinical activity will be considered an asset. Candidates will contribute to the development
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contribute to the development of leading experimental research in magnetic sensing and spin-electronics-based devices. Main responsibilities: • Develop an original and ambitious experimental research programme
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Contribute to specific project deliverables as required Contribute to the development of innovative discipline-specific services and tools relevant to research data Contribute to the development of training
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foundation in spintronics, with a particular emphasis on magnetic memories and sensors. The ideal candidate should possess a PhD and have substantial research experience in the development of magnetic tunnel
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and lead their own research team within a research structure in France affilated with Inserm or CNRS, and Université Paris-Cité. o It also aims to encourage the development of high-quality, mid-term
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development, antibody structure, immune responses in cancer Hands-on experience with core wet lab techniques: cell culture, PCR, western blotting, and basic functional assays using immune or cancer cell models