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in Python. - Skills in 3D image rendering (optional) - First year post-doc are encouraged Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5169-ANTWYS-007/Default.aspx Work
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The post-doc fellow will be responsible for optimizing and
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Infrastructure? No Offer Description Completing the characterization of the components (polycapillaries, X-ray tube, alignment device) of a LouComax prototype: MA-XRF coupled C-XRF Developing a C-XRF data
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» Modelling toolsEducation LevelPhD or equivalent Skills/Qualifications PhD in physics, applied mathematics, signal and image processing, digital imaging. Specific Requirements The candidate will work in a
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, IBDM employs around 220 permanent researchers, lecturers, engineers and technicians, as well as non-permanent staff on fixed-term contracts, post-docs, PhD students and trainees, spread across 21
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the activity of specific neuron subtypes in the cortex and cerebellum. Carrying out in vivo experiments in mice, from surgery to optical recording and data analysis. Characterization of the properties of several
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imaging techniques) to the resulting visual appearance (measured with appearance-based methods). The post-doc will be supervised by Bilge SAYIM at the École Normale Supérieure (ENS), Université PSL, within
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number of techniques routinely used in the lab including histology, confocal microscopy and image processing. Prior expertise in cell culture, image analysis and coding would be highly appreciated. Part of
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computer vision. The dominant approach is based on deep neural networks applied to RGB images. These models have disadvantages such as: a) the need of large quantities of annotated data, which requires
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electroencephalography (LFP &Multi- Single Unit recordings), data processing, statistics Know-how: instrumentation, dissection, experimental design, signal and image processing Personal skills: rigor, curiosity