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expertise in structural studies of thin-film materials using transmission electron microscopy. The team is also developing original methods for polymer orientation using high-temperature mechanical brushing
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process structures. However, this method is limited by the inductive bias of the predefined superstructure. Innovation: Increased computing power and advances in data science have popularized new algorithms
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PhD on 2D quantum photonics : towards neuromorphic applications with 2D ferroelectrics materials M/F
Infrastructure? No Offer Description The 2D+ Research Group at CRHEA, located on the French Riviera near Nice, France, is seeking a highly motivated and talented PhD candidate to join our cutting-edge research in
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are inviting applications for a PhD position under LUMEN project funded by BPI-France, France 2030 and Normandy Region within I-Démo 2024 program. The project gathers experts in fiber laser design, realization
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-radio offsets of few 0.1 mas to several mas, preventing from realizing a wavelength-independent CRF. In this thesis, we propose to, firstly, revise the VLBI analysis methods currently in use to better
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which currently consists of 5 permanent researchers, 2 PhD students, 2 postdoctoral researchers. The PhD studies will be performed in the experimental rooms of the propulsion team at LPP in Palaiseau
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9 Sep 2025 Job Information Organisation/Company CNRS Department Institut de Mécanique des Fluides de Toulouse Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 29 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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foundations, algorithmic methods, and applications in diverse fields such as industry, healthcare, transportation, and intelligent systems. This research focuses on devising innovative strategies for evaluating
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encapsidation. In parallel, the Nano-DMS-MaP method will be used to assess the impact of m6A on RNA structure. In a second part, the PhD student will study the impact of HIV-1 infection on the host cell's
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to animal fungal pathogens and further explore and test the above mentioned characteristics of this model. To achieve this, the PhD student will use the animal fungal pathogen Pseudogymnoascus destructans