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bioinformatics, the project will expand our knowledge of mRNA regulation in the adaptive immune system and identify potential molecular targets for therapeutic interventions in inflammatory disease. As a PhD
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structured SPE data Develop ML models to predict key polymer properties relevant to battery performance Create generative models for the inverse design of novel SPE candidates within the targeted chemical
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to the Internet and include protection of software, data, and hardware. Project description Our project is targeting cybersecurity threat prediction using eXplainable AI. You will work with colleagues in our
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, they introduce new and understudied attack surfaces. The research aims to uncover novel network-based threats targeting these systems and to develop robust countermeasures. By systematically identifying
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team of researchers on a European project. As a main topic, you will perform your research in one of these areas: -Service oriented software in the cloud-to-edge compute continuum targeting robust
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biomass resources and pollutants in AD plants will enhance utilization of bioresources and generation of added-value products with targeted properties for various applications. One example of valorization
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at top machine learning venues. The project involves collecting and curating a MSI benchmark in the first year targeted for NeurIPS 2026 to be then used as the test-bed for the developed ML techniques in
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automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source code for the Eclipse Arrowhead. Projects typically involve
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, IoT, and SoS automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source code for the Eclipse Arrowhead. Projects
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automation architecture and the use of AI and Machine Learning (ML). Targeted results include academic papers and contributions with open-source code for the Eclipse Arrowhead. Projects typically involve