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. WORK PLAN: Development and optimization of biocompatible and biodegradable membranes by electrospinning and their characterization (physical-chemical, mechanical, and biological). Data analysis and
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" BioShoes4All - Inovação e capacitação da fileira do calçado para a bioeconomia sustentável: medida 2.1.1”, co-financed by Component 12 – Promotion of Sustainable Bioeconomy, integrated in the Climate Transition
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na Fileira da Resina Natural para Reforço da Bioeconomia Nacional - medida I2.M2”, co-financed by Component 12 – Promotion of Sustainable Bioeconomy, integrated in the Climate Transition Dimension
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" BioShoes4All - Inovação e capacitação da fileira do calçado para a bioeconomia sustentável: medida 2.1.1”, co-financed by Component 12 – Promotion of Sustainable Bioeconomy”, integrated in the Climate Transition
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. Collection, integration and analysis of data from various sources (e.g. clinical, biochemical); 2. Databases creation and update, and application of statistical methods for analyses; 3. Performing functional
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Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR
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factor given to each parameter. In this process abstentions are not allowed. In the event of a tie among candidates with the same highest evaluation score, the Evaluation Panel reserves the right
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
and cast parameter/state/fractional‑order learning as an Expectation–Maximization (EM) procedure interpreted through a dynamical‑systems lens (e.g., fixed‑point/stability analysis of the EM iterates
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The AI-RBD (AI-driven video analysis for REM behavior disorder detection
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TEC. 2. OBJECTIVES: Collaborate with clinical partners in data collection and annotation Design and implement new deep learning solutions for the analysis of heart sound auscultation, electrocardiogram