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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
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regulation to address the challenges of trust, compliance, and usability in next-generation networks. The inTRUSTED Living Lab will foster collaboration between researchers, industry and policymakers, ensuring
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out-couplers to interface with external light sources. This architecture will serve as a platform for developing both optical sensors and optical signal processors, leveraging existing integrated
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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biology and genomics. The position offers excellent opportunities for scientific publishing, international networking and academic career development. Our group studies the fundamental principles
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-reviewed academic journals and practitioner magazines; Present your research at national and international academic and practitioner conferences and actively develop your (academic and practitioner) network
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communication skills in English. Strong collaborative skills, as well as the ability to build and maintain professional relationships and research networks. We will also evaluate the following criteria when
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute