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tools, Earth foundation models, and a good working knowledge of modeling approaches in ecology. In particular, we are looking for someone interested in developing hyperspectral data analysis pipelines and
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» PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria ### Knowledge - PhD in computational neuroscience, physics, mathematics, computer science, or related field - Mastery
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, physicians, and PhD students. The position involves close collaboration between: Institut Langevin (ESPCI Paris – PSL), where instrumental developments and data analysis are carried out; and The Paris Eye
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project is a follow-on to a project conducted at CAMS on modeling the spread
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use the ISBA land surface model developped at CNRM to study the
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Description Applications are invited for a postdoctoral position to study the neurocomputational mechanisms of information propagation in social networks. The Neuroeconomics group of Dr Jean-Claude Dreher
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria knowledge extraction, modeling and management; programming The expected profile is a candidate with a PhD Industrial
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of Research ExperienceNone Additional Information Eligibility criteria PhD in life sciences. Experience in cell and cancer biology and in vivo models of cancer. Good mastery of bioinformatic tools. Experience
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Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Numerical and experimental modelling of reactive solute transport in unsaturated
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. Automated data-driven selection procedures will enable to gain objectivity and capacity to handle large amount of data from a wide range of epidemics. The first challenge consist in refining previous models