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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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new conversational AI models, based on recent foundation models. The key research question is how these state-of-the-art language models (including multi-modal versions) can be leveraged and adapted
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systems and computational biology. Models include yeast, fly, mouse, and pluripotent human cell systems. Research groups have access to state-of-the-art research and top-notch support core facilities and
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design modelling is performed by Computational Fluid Dynamics (CFD) simulations, coupling the gas flow and plasma description, in 3D and 2D. Job profile We are looking for candidates with an MSc degree in
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faculty and university research policies . You act with attention to quality, integrity, creativity and cooperation. You can demonstrate an interest and abilities in theoretical modelling in economics and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative systems and computational biology. Models include yeast, fly, mouse, and pluripotent human cell
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that transcends the boundaries of faculties and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Raad . Psychosocial well-being at work and
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and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Psychosocial well-being at work and ombudsperson Doctoral and other students
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models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and