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origins (bacterial, biological fluids, hybrid nanovectors, etc.). He/she will develop protocols for fluorescent labeling (e.g. DNA paint...), immunolabeling, immunoimmobilization, acquisition, processing
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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for the numerical simulation of high-frequency acoustic and electromagnetic waves is a longstanding open problem in computational mathematics. These waves underpin a plethora of communication and imaging technologies
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Setup and operation of a PET-SCAN prototype using MCPs as sensors - Design a vacuum
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
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• Exploration of dielectric-based resonant and non-resonant nanophotonic architectures compatible with large-area fabrication • Demonstration of prototype metasurface devices combining optical selectivity
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FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Skills/knowledge: computer vision, neural networks