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models to enhance learning through AI technology. A part of this work is also to consider opportunities for innovation related to start-up companies. The approach followed encapsulates Design-Based
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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copy the link to this scholarship website into Question 2 of the Financial Details section. About the scholarship This PhD project will contribute to the development and optimisation of a Paediatric Post
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of periodic chiral systems and improve current software limits. ii) design computational protocols to perform applications of the developed software. Expected Results: simulate, predict and rationalise
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15 active researchers at the assistant, associate, and full professor levels, as well as 10 PhD and post-doc students. Our faculty members conduct and publish research on a wide range of topics
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interested in programming and developing the next generation models for inflow forecasting? Work with us, SINTEF and the Hydropower industry to develop State of the art models for better water management. The
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(FEUP), under the scientific supervision of Professor Doctor Ana Rita Lado Teixeira Ribeiro. Grant duration: Initial duration of 4 months, with the predicted starting date in October 2025, on an exclusive
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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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mechanisms for substation protection using digital technologies both in simulations and in a laboratory environment. How to facilitate the use of protection and control systems in the substation? How
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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