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characterization platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments and
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24 months, expiration date 16th april 2026 at 1:00 pm Where to apply Website http://www.unipi.it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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initiative of the Exploratory Modeling of human-natural systems (EM) research group of the Advancing Systems Analysis (ASA) program and the Integrated Assessment and Climate Change (IACC) research group
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: 88419BR Will gain experience in: * Building automated data pipelines between source departments and the enterprise data warehouse. * Working with large-scale HR and workforce data models in Scuba
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Duration: 3 months Maximum Duration Including Renewals: 3 months Objectives To develop a model for the analysis of the deployment of 5G future railway mobile communications systems in tunnels by analysing
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
of the proposed research subject : A state of the art, bibliography and scientific references are available at the following URL: https://vincentgaudilliere.github.io/files
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Sorbonne Universite - Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP) | Paris La Defense, le de France | France | about 2 hours ago
. Bioinspired regenerative strategies have recently attracted increasing attention, and preclinical animal models have been developed to assess their efficacy. However, ethical guidelines and concerns regarding
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
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]. These systems are characterized by highly nonlinear, anisotropic, and time-dependent responses governed by evolving internal mechanisms and environmental conditions, making their predictive modeling particularly
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
and long-range communication. Recent advances in artificial intelligence have transformed structural biology, yet most existing models still rely on static structures and fail to capture the dynamic