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has a wide range of applications in domains focused on monitoring and securing complex systems, including mobility, manufacturing, communication, economics, and environmental science. These domains
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Context. The initial great promise of 3D geometric modeling and processing was to achieve for shapes what had been done in digital signal processing for sound and images. Over the last twenty years
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, or electrophysiology recordings) identified in step 1.2. TheVirtualBrain framework [12] will assist in effectively managing the integration process. Aim 2: Model the computational de-association of memory traces 2.1
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computer science or a related field. General: Knowledge of hospital environments and the healthcare sector, as well as innovative technologies: AI algorithms, image and signal processing, segmentation, modeling
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master’s degree in mathematics, physics or informatics with a strong knowledge in machine learning. Skills: Coding in Python and/or R is required. Previous knowledge in archaeology and zoo-archaeology would
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neuroscience, biophysics, engineering, or related field. 2) Experience in one the following areas would be appreciated: in vivo electrophysiology, 2-photon imaging, optogenetics, microscopy. 3) Enthusiasm
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to muscle physiology and clinical applications. Specific Skills or Experience Required/Desirable: The project will involve experimental and computational work. The student will become familiar with a
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in