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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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the Boolean response of the modal plasmonic processors. The candidate will develop a cw excitation / linear photo-luminescence detection scheme in collaboration with near-field optical microscopy experts in ICB
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Description The candidate will work on a project funded by the ANR and whose objective is the characterization of an antimicrobial peptide resistance system in the bacterium Streptococcus pneumoniae
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movements can be preceded by slow movements lasting from several days to several years. These movements can be detected and tracked by satellites, either using radar or optical sensors. Since 2016, data from
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parameter estimation using Bayesian inference, and/or the exploitation of Machine Learning (ML) based algorithms to reduce false positives caused by human generated interference signals in the observational
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for the development of advanced, ultrasensitive biosensors. The objective of this project is to functionalize carbon nanotubes with biosensor peptides to detect biomarkers indicative of inflammation in juvenile
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provide a comparative mapping of these processes across all major archaeal phyla. Scientific objectives: - Identify and characterize de novo genes within the main archaeal lineages and their associated
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binary's level of exposure to known vulnerabilities (e.g., CVEs), detecting alterations in the code of these components and verifying whether they are backdoors, and understanding the attack methods
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PhD on 2D quantum photonics : towards neuromorphic applications with 2D ferroelectrics materials M/F
-of-plane ferroelectric domains. The goal of this PhD is to optically detect, track, and ultimately control the ferroelectric state in such materials. Key objectives include imaging ferroelectric domains in a
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ACCESS project and take part in an innovative collaborative program dedicated to the design and development of active Thin-Film Electrode Arrays (TFEAs) for cochlear implants. The main objective of WP1 is