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-EHESS, located in Paris in the 6th arrondissement. CAMS is a multidisciplinary research unit bringing together mathematicians, physicists, computer scientists and researchers in cognitive and social
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- integration within the BioDiv team at IBENS - availability of work station, computer, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-189/Candidater.aspx
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the Boolean response of the modal plasmonic processors. The candidate will develop a cw excitation / linear photo-luminescence detection scheme in collaboration with near-field optical microscopy experts in ICB
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applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines
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structures of the Universe, the distant Universe and advanced statistical methods. Funding will be provided for travels and for computer equipment. The applicant will have access to two high-performance
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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. - Experience in coding (python or other computer language). - Proven track record of publications in peer-reviewed journals. - English (written/oral) level of at least B2 (according to the common European
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://ecotaxa.obs-vlfr.fr/ ) or store and distribute data on the abundance of marine snow particles. The team has a long experience of interactions with engineers and computer scientists, in academia and the private