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the EU-funded Marie Skłodowska-Curie (MSCA) COFUND research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which aims to address scientific and sectoral gaps
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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and obsessive-compulsive disorders), and to optimise neuromodulation therapies such as deep brain stimulation. The team combines intracranial recordings and EEG, brain imaging, brain stimulation
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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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Energy Transfer) - Genetic code expansion strategy to specifically label proteins - Image analysis - Programming - Wet lab activities (biochemistry, cell and molecular biology) Our group at the Center
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variability, whichincreasingly disrupts the operation of electrical circuits and reduces the design margin of the circuits (Fig. 1). This is particularly the case for the reading circuits of CMOS imager
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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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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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confocal imaging, bioinformatic ; good communication skill Specific Requirements In vitro macrophage culture and matrix biology expertise LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelBasic Research
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with numerous technological platforms (imaging, mass spectrometry, histology, animal facilities, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9002-KRZROG-008/Candidater.aspx