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Field
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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Network project funded by the Marie Skłodowska-Curie Actions (MSCA) programme. The project brings together leading academic and industrial partners from eight European countries (Germany, France, United
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interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
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will be part of a leading team in network data science within the Multimedia Computing Group (MMC) in Computer Science. We share a drive to understand and optimize complex systems ranging from social
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forest–lake systems Contribute to trait-based and community-level analyses across aquatic and terrestrial taxa Apply advanced statistical approaches, including multivariate methods, to analyse complex
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or complex interconnected networks. Importantly, both sensor and helper partners are required for resistance upon pathogen infection. In the ERC-funded project “CooPAIRation”, we aim to harness the genetic
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(https://www.birmingham.ac.uk/ ). Opportunities for career development and networking. Opportunities for international mobility by spending time in the labs in Antwerp and Birmingham. Start date: As soon
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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validation. Within the PRECISE consortium, you collaborate with a multidisciplinary national network. You contribute to genotype-specific target validation, participate in the PRECISE Early Career program, and
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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart