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the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position concerns a 2 years contract for the development of experiments on complex biomolecular
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team at Université Paris Cité are collaborating on a long-term project to develop and implement novel methodologies to investigate how environmental risk factors shape the genetic risk of metabolic
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 days ago
opportunity in computational inverse problems in the context of the ERC-StG European project Incorwave which aims to develop advanced numerical and mathematical strategies for passive imaging. This postdoctoral
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(funded by the French National Research Agency, ANR JCJC) aims to develop a new theoretical and numerical framework to describe correlated electron–positron dynamics in atoms, and to identify experimentally
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symmetry and excitation processes on vibrational spectra, as well as participate in the development of methods integrating new laser technology. The candidate will work within the framework of the ANR
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develop machine learning approaches (deep learning) to understand the eco-evolutionary mechanisms underlying biological diversity from environmental (phylo)genomic data. - Methodological developments in
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bridges the gap between tradition and modernity by innovating in the development of high-tech ceramics that meet novel industrial and societal challenges (energy, information and communication technology
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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