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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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staff position within a Research Infrastructure? No Offer Description RESEARCHER PROFILE: Postdoc / R2: PhD holders Researcher, Assistant Professor/ Senior Lecturer / R3: Established Researcher Professor
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equipped with evolving, plastic neural networks models, which process visual information and drive motor action. These virtual agents will navigate in virtual reconstructions of ants' natural environment, so
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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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. The BayesCompare project is a FNR funded project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information
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in large-scale computational image processing and analysis You are experienced in coding in MATLAB or equivalent language suitable for high content imaging analysis. You have a proven ability to
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planets play a fundamental role in planetary formation and system dynamics. Transiting photometry, high-contrast imaging, absolute astrometry (Gaia, Hipparcos) and radial velocities, or a combination of
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- microscopy - knowledge of single-molecule imaging (acquisition and processing) - knowledge of photophysics - knowledge of cell culture - python programming Website for additional job details https
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of Research Experience1 - 4 Additional Information Eligibility criteria A recent PhD on wave propagation Experimental skills in mechanics, dynamics, wave propagation, image correlation Good knowledge
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(Institute of Organic and Analytical Chemistry), located in the heart of the campus of the University of Orléans, gathers more that 120 persons, including researchers, post-doctoral researchers, PhD students