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). Methods include sensor-based technologies, external and internal exposome approaches, and co-creation and participatory research methods. This PhD position seeks to contribute to and build upon work being
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. Specifically, NIR sensors, hyperspectral imaging coupled with standard or macro lens, spatially resolved spectrometry, evolving plots, and FTIR will be used for the non-invasive characterisation of raw material
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Doctoral Candidate (PhD student position in biociences) / DC7 - SHIELD Doctoral Network This PhD position is part of the European Doctoral Network “SHIELD” (Strategies for Healing Implant-associated
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Network (MSCA-DN) SCARPA - Sustainable and Circular Footwear Training Program, within the Horizon Europe Programme of the European Commission. SCARPA is a consortium of high-profile universities, research
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to open-source radio access networks (Open RAN), focusing on their deployment and performance. The study is developed within the framework of the AIGUA5G project, which promotes the use of 5G and IoT
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biology, with both wet/dry lab backgrounds, to establish protocols and computational pipelines to exploit RNA modifications as disease biomarkers for early cancer diagnosis, and prognosis. EURECA network
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interdisciplinary training in theoretical language models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities
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from physical constraints and evolutionary pressures, across multiple scales — from proteins to regulatory networks. The group combines principles from statistical physics, systems biology, and
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Description Grant/funding reference: PID2022-137099NB-C42 Job title: COMMUNICATION, CODING AND PROCESSING TECHNOLOGIES FOR NEXT-GENERATION QUANTUM CLASSICAL NETWORKS (MADDIE) Research line: INFORMATION SYSTEMS
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to the TEMPREAD project, investigating the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional