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and educational issues with the common goal of contributing to an inclusive, open and resourceful society. This PhD position will be located in the project "Deploying a Mobile Interoceptive Training to
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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Job description We are recruiting 2 postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The postdocs will develop
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 12 hours ago
abroad. Skills PhD degree in computer science, physics, or a related field Proficiency in the fields of quantum information and causal modelling Instruction to apply In addition to the (mandatory) online
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acquisition). Statistical analysis and computational modelling of cross-linguistic data from a developmental project investigating the emergence of an indefinite article in Hindi. Oral narratives have already
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Establish and validate a regional coupled ocean modeling framework at very
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data