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Field
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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conditions and changes occurring over the 20th and 21st centuries and expected changes in conditions and disturbance processes over 21st century. Together the Forests and the Lab also build decision support
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). This work is part of a larger project aiming to develop novel battery thermal management systems (BTMS). The main tasks include (i) The development of an integrated model for the BMS-BTMS
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breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite
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a strong background in measurement theory and statistics, demonstrating mastery in structural equation modeling and item response theory methods. As a key member of our research team, the successful
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), framed in the Next Generation EU, for the period 2021 - 2026, within the scope of Measure 2.1.1 Ecodesign of footwear and leather goods, under the following conditions: . SCIENTIFIC AREA: Mechanical
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, and improve linkages between atmospheric chemistry and public health research. The position is part-time and will require close interaction with parallel research activities at the University
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Justin Sheffield. This project aims to transform our understanding of soil moisture (SM) variability and its interactions with land-atmosphere processes. The project will use cutting-edge modelling, data
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). The objective of this project is to enhance malaria control programs in Peru, Ecuador, and Brazil by expanding and improving early warning and surveillance systems, and modeling the impacts of coordinated
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Programa de Financiamento Plurianual de Centros Académicos Clínicos – CAC 2023-2025 pela Fundação para a Ciência e Tecnologia (FCT) with the following conditions: Research Field: Biomedicine Admission