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Field
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a Research Infrastructure? No Offer Description Work Plan • Survey of the state of the art in predictive and analytical models applied to sports, ranging from statistical and linear approaches to deep
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– development of scenarios for the network analysis. --- Model development – development of a model that enables the analysis of the impacts of adding sensing capabilities. --- Model implementation
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | about 17 hours ago
glial growth. Implementation of ex vivo cultures, immunofluorescence, confocal microscopy, and quantitative image analysis. Adaptation and application of 3D systems of human cell models to the Drosophila
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
simulations and models. Workplan involved construction of chemical networks and analyzing them. Additional topics may include exploring those replicators’ errors. The success of this project will teach us about
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location. - Develop the core output, such as a high-fidelity 3D model, an interactive heritage application, or a user-experience dataset. - Test the developed solution or methodology within a "UTOPIA Lab
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S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture | Portugal | 10 days ago
to, the following tasks: Development of three-dimensional (3D) cell models (organoids) derived from salmon skin; Optimization of organoid growth and differentiation conditions, including testing various media, growth
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., under the following conditions: Work Plan: The scholarship holder will carry out research activities within the TwinCare project, focusing on the development of AI-based Digital Twin analytical models
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | about 17 hours ago
microscopy. Quantitative image analysis to assess microglial localization, morphology, and density, as well as structural changes in the retina in retinal disease models. Statistical data analysis. Place of
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the Computational Hydrology teams at the University of Évora (Portugal) and the BUR_PC project team. Apply and contribute to the continued development of the FLUXOS hydrodynamic model for flood analysis, with
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human samples from a longitudinal cohort (ESMI), as well as the use of transgenic animal models of the disease. The candidate will be responsible for the experimental execution of the different project