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seasonal emissions such as winter CH4 emissions, using AI tools to develop upscaling tools or upscale to circumpolar region, or using climate modeling such as the Norwegian Earth System Model to constrain
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, or using climate modeling such as the Norwegian Earth System Model to constrain models and observations. Your immediate leader will be the Head of Department. About the project The PhD candidate will join
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: estimation theory (state observers, parameter identification), adaptive control, model predictive control, modelling and simulation, machine learning. Practical experience with the above. Personal
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources
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, by sending email to Doctor Marta Lopes (E-mail: marta.lopes@fct.unl.pt ) and cc to j.elias@fct.unl.pt , mentioning the scholarship reference "Pacto Bioeconomia Azul – BI Mestre" in the subject line of
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for simulating flow and pressure response, as well as thermal storage. Also analyzing new and existing data and calibrating models. Duties of the position Complete the doctoral education until obtaining a
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the previous point and the documents proving the conditions in this Notice, namely: a) Application for Application addressed to the President of the Selection Jury (model attached); b) Copy of doctoral
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of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Nuno Azevedo, Professor Jaime Cardoso and Doctor Joana Vilas Boas. Grant duration: Initial duration of 6 months, with
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models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and