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pathways underlying environmentally responsive root development. The postholder will work closely with the BreathingUnderground team and an international network of collaborators, contributing to a high
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
manufacturing and structural analysis by simulation in the testing pyramid for certification of aeronautical structures, increasing the reliance on digital technologies (data or simulation driven) to ensure
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for multivariate analysis and machine learning, ensuring high-quality metadata, traceability and reproducibility. Building on this data foundation, the Fellow will develop hybrid modelling tools that integrate
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digital platforms (such as computers, smartphones, tablets and wearables etc.) to improve the health and wellbeing of citizens. Data-Enabled Health Transformation - the creation, amalgamation, analysis, and
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analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level collaboration between the Digital Signal Processing Group (DSB), at the Section
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
network and determine the biological tumour properties responsible for this signature. Subsequently, based on these findings, the role of the electrophysiological context in GBM biological properties
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. Experience of designing large-scale ruminant experiments Demonstrable microbiome analysis experience. Metabolomic analysis experience. Experience of peer-reviewed publication in a relevant area of research
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to project design and implementation, the analysis of data and the preparation of manuscripts for publication. You will have the opportunity to actively report on new and current research related to the research
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surveys, focus groups, organizational audits, and stakeholder convenings. Coordinate data collection, management, analysis, and interpretation to inform program development and institutional recommendations
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-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following