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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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of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and financial models
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to the understanding of physical mechanisms underlying these complex plasmas. The laboratory team has extensive experience in both experimental and modeling of this type of plasmas. Thus the candidate will have existing
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postdoctoral researcher to join the ERC Pandora project team. Your work will involve analyzing or designing models of surface processes to estimate their role in the formation of environmental refuge zones
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related to staff position within a Research Infrastructure? No Offer Description About the Role We are seeking to recruit a Research Fellow in AI for Climate Modelling to become a member of the School
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projects. The position is responsible for conducting sponsored research in transportation safety, developing material and computer simulation models, developing vehicle and roadside hardware models, and
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for the zero-defect remanufacturing in the electronics sector, considering data availability through the Digital Product Passport.The foreseen activities include the development of product data models conforming
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solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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improving and extending existing modeling frameworks such as the Large Basin Runoff Model (LBRM) and data-driven Artificial Intelligence (AI) approaches, including Long Short-Term Memory (LSTM) networks and