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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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the framework of the SPIRou Large Programs. The goal is to exploit SPIRou data collected for a few tens of M dwarfs of various masses, to (i) study the radial velocity curves and filter out activity to unveil
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at the Canada-France-Hawaii Telescope (CFHT) since 2019 in the framework of the SPIRou Large Programs. The goal is to analyze existing and future SPIRou data for a number of T Tauri stars of various masses, ages
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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases
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, as well as a large community of PhD students, postdoctoral researchers, and other research associates. The laboratory conducts internationally recognized research in atmospheric chemistry, air quality
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intelligence and large language models for data analysis, and bioscientific programming. The candidate should have experience in the analysis of large-scale biomedical data, e.g.: omics or clinical data, using
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international journals. Engage in dissemination of results to national and international stakeholders. Key Skills, Experience and Qualifications PhD in environmental epidemiology, biostatistics, mathematics, big
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models