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Field
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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the provisions of the Decree-Law no. 66/2018, of august 16th, and any formalities established there must be fulfilled until the time of signing the contract. Activity Outline: Development of control strategies
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patients develop a durable response. Many researchers are investing efforts to understand the complexity of anti-cancer immunity and develop diagnostic approaches that accurately predict therapy benefit and
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used to support real-time monitoring, predictive maintenance, geohazard detection, and safer railway operations. The initiative is a collaboration between the Department of Electrical Engineering, the
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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-storage quality (firmness, colour, disorders) will be assessed. • Model development: Relationships between porosity, gas exchange, and storage outcomes will be modelled to evaluate predictive capacity
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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cadence) to drive predictable execution and sustainable adoption. Design, implement, and continuously refine the target operating model-including processes, roles, controls, and system-enabled workflows
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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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unexplored. Conversely, models predicting future Arctic primary production often assume poleward shift of species based on thermal optima, without accounting for the adaptive capacity of local populations