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: image processing, statistical signal processing, information geometry, sparse signal processing, generative AI, unsupervised and meta learning, radar, GPU and FPGA, Arm processor. Research Group • ENSTA
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Université de Lorraine/Laboratoire LAE UMR1121 | Vand uvre les Nancy, Lorraine | France | 7 days ago
. Experience in: background in elucidating the structures of natural products using 1D and 2D NMR and HRMS, molecular network data processing and metabolomic statistical approaches, development and validation
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CNRS - National Center for Scientific Research | Nantes, Pays de la Loire | France | about 21 hours ago
. - Experience with high-throughput sequencing, metagenomics or metatranscriptomic analyses of large-scale datasets. - Experience of data analysis, statistics and visualisation, for example in Python or R
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to develop tools for monitoring clinical activities; - Ability to transmit information using appropriate media for different audiences. - Basic knowledge of database management / statistics - Knowledge
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, biostatistics, and infectious diseases. The position includes leading statistical analysis and manuscript writing in collaboration with the research team. The selected candidate will be encouraged to present
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in molecular simulation is desirable, as well as a good knowledge of associated theoretical tools (statistical physics, etc.; programming experience including: Python, Fortran, C, C++, etc.). A good
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CNRS - National Center for Scientific Research | Nantes, Pays de la Loire | France | about 21 hours ago
of large-scale datasets. - Experience with network-based approaches and metabolic modelling at genome and community scales. - Experience of data analysis, statistics and visualisation, for example in Python
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or materials science and/or statistical physics is required. Modalities: The thesis will begin on October 1, 2024. Interested candidates should send a letter of motivation, a CV, and at least one letter of
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responses. - Good level of statistics, notions of bioinformatics. - Good level of English - Ability to communicate and work in a team - Willingness to disseminate science at specialist events (conferences
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already invested in supervision centers to provide monitoring tools, which are mostly based on statistical learning and are only partly suitable for driving optimization or predictive maintenance