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information for two referees. One of these should be the main advisor for the master's thesis or PhD thesis; • CV; • Transcripts and diplomas showing completion of the bachelor's and master's and PhD degrees
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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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. - Designing and conductiong new experiments in order to validate the models. - Interpreting measurements and performing numerical simulations. - Comparing experimental data and numerical results to provide new
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physicsYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in physics, magnonics, or a related field. • Good written and spoken English communication skills. • Experience in
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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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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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FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in condensed matter physics, materials science, or a related field; • Strong knowledge of thin-film growth techniques