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Science-Guided and AI Models; Cir4Fun – 101182081 – Innovative circular solutions for furniture; MaaSAI – 101177368 – Manufacturing as a Service: Technologies for customised, flexible, and decentralised
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Coupling of Hybrid Science-Guided and AI Models; xShare – 101136734 – Expanding the European EHRxF to share and effectively use health data within the EHDS; DS4Health – 101083563 - Specialised education
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Coupling of Hybrid Science-Guided and AI Models; xShare – 101136734 – Expanding the European EHRxF to share and effectively use health data within the EHDS; DS4Health – 101083563 - Specialised education
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integration, and business process modeling/implementation. Selection process Conditions for the Contest Evaluation In the first stage, three candidates will be selected based on their resume and cover letter
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financing from the European Union, taking place at the Faculty of Architecture of the University of Porto, under the following conditions: 1. Research area/s: Architecture and Civil Engineering. 2. Admission
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President of the Selection Jury, under the terms defined in the attached model. 16.4. The application must be accompanied by documents proving the conditions set out in this Notice, namely: The application
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conditions: Research Field: Biomedical Sciences, Biochemistry, Pharmaceutical Sciences, and related areas. Objectives: Determine the therapeutic potential of preconditioned MSC and their secretome in a
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
distribution, and the continuity and quality of care. Subsequently, the model will be expanded to account for uncertainty, including traffic conditions, emergency visits, and staff absences. Given
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implications for health risk assessment and monitoring.• Task 6.4: Model to infer pathogen risk based in their circulation in wastewaterTimeline: Months 20–34Output: Draft chapters on results & discussion
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possess strong programming skills in Python and C++, with experience in PyTorch and pybind11 for developing and optimizing deep learning models. Familiarity with Sentinel-2 satellite imagery and experience