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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
-informed/physics-guided models to complex engineering systems Development and use of advanced scientific AI methodologies, including surrogate models, generative models, probabilistic models, and both data
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Including Renewals: 6 months Objectives To develop and validate a hierarchical, time-dependent forecasting framework for the COVID-19 pandemic, integrating heterogeneous epidemiological and data-driven models
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mechanisms.; - Develop data-driven and/or causal model-based approaches for the identification of root causes leading to atypical asset degradation, considering charging systems as complex and
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.; - Develop data-driven and/or causal model-based approaches for the identification of root causes leading to atypical asset degradation, considering charging systems as complex and multidisciplinary systems
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
methodologies to complex engineering systems; Development and application of advanced Scientific AI methodologies, including surrogate models, generative models, probabilistic models, and data-driven and physics
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). Knowledge of machine learning or data-driven modelling approaches applied to materials science or manufacturing process optimisation. Work Plan and Objectives The work plan consists of developing a numerical
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the European green labour market in the transport and infrastructure sector, identifying the most in-demand ecological skills (green skills). Develop data-driven models and decision-support tools to create