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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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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | about 11 hours ago
Curie Doctoral Network project entitled History, Archaeology, and Botany of Pacific Islands: assessing the Long-Term Impacts of Early European colonialism on Peoples and Forests (short name
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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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includes (1) Training through individually personalized research projects under senior supervision (2) Exchanging knowledge with the scientific community and the general public (3) Network-wide training in
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the library of patents of the group. Contact person with collaborators and contribute with international experience to enrich the network of collaborators of the group. Requirements for candidates: Essential
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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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the scientific community and the general public (3) Network-wide training in theory and methods (4) Complementary training courses (5) Involvement in proposal writing, task coordination (6) Development of skills
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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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for solids Mesh-dependency assessment in IBRA solid mechanics applications involving strain localization. According to WP 2021-2022 the candidates must comply the MSCA-DN eligibility criteria: Not having
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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