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in workplaces, integrating real-time data and models compliant with EN 62305-1. Where to apply Website https://careers.polito.it/ Requirements Additional Information Eligibility criteria To apply
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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computing. This particular position focuses on time-series analysis and forecasting using transformer based foundation models. About the Project Time-series prediction using transformer based models is
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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Knowledge in statistical analyses of large data sets (e.g., structural equation modeling, regression models) Enjoyment of scientific work Enjoyment of working with children and schools Independent working
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 4 days ago
mutual agreement) at the IT4Innovations national supercomputing centre is open to applicants. The Material Design group led by Dr. Dominik Legut within the Modeling of Nanotechnology Lab is looking
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the framework of the PEPR Sous-Sol project ORGMET conducted by a consortium of four French laboratories GET, INEEL/ESRF, LFCR and IPREM (https://www.soussol-bien-commun.fr/fr/appel-projets-2024/orgmet
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NAME_FAMILY NAME) : https://nextcloud.univ-lille.fr/index.php/s/ezJxfSBwTjkJCnt Key words: solidification, recycled aluminum alloys, induction heating, thermal simulations, 3D modelling, mechanical testing
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– development of scenarios for the network analysis. --- Model development – development of a model that enables the analysis of the impacts of adding sensing capabilities. --- Model implementation