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behaviors are embedded in wider socio-demographic contexts and spread through social networks. Using survey and register data, you will develop typical household profiles, design an agent-based model, and
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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI
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tools is considered as an advantage Understanding of building design, structures, and material in the Finnish context Capability for working with Building Information Models Fluent English is a must
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today are designed for AC environments and require major adaptation, particularly in power electron- ics and control interfaces, to become fully compatible with DC microgrids. This Ph.D. research will
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Combustion Engines, ICE, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI
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to increase data and software interoperability, enabling the automated reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable
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of the Portuguese Republic]. The stated position will be held under a public service employment contract of specified duration at UNIT 4539 - Centre for Innovation in Biomedicine and Biotechnology, University
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journals or research conferences. Expertise in one or more of the above areas of interest. Experience with neuromorphic computing, IC design, embedded systems, or AI. Experience with research on Neuromorphic
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for four years. The project involves multiple partners: • OTFT characterizations : L2n-URCA Reims (O. Simonetti) • Polymer synthesis: ICPEES Strasbourg (N. Leclerc) • Material deposition: ICS Strasbourg (M
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of the research project “CIDERWISE - Innovation, management, and sustainability in Apple waste supply chain – Valorization of related products and byproducts”, no. 16483, operation code COMPETE2030-FEDER-00765400