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-field measurements, HPC-based numerical simulations, and laboratory experiments. Oldenburg is particularly renowned for its unique large wind tunnel with an active grid and leading expertise in developing
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Research theme: “Groundwater remediation”, “Environmental application of nanotechnology”, “Groundwater modelling”, “Aquifer”, “MODFLOW model”, “Nanoparticle transport in porous media”, “Nanoparticle
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PhD position Modeling modals: A computational study of modal verb acquisition (V25.0196) « Back to the overview Job description The Center for Language and Cognition Groningen is seeking a motivated
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computational models that learn by finding patterns in language data. Can they learn the different modal meanings simply by paying attention to what they “hear”? Or do they need to come prepared with certain
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you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: · Co-simulation energy markets operation and power grids
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the following documents to Professor Miao Chen via miao.chen@rmit.edu.au a cover letter (research statement) a copy of electronic academic transcripts a CV that includes any publications/awards and the contact
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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model of the patients’ condition is required. This PhD will investigate how knowledge models can be built and maintained for healthcare applications. The project will explore the use of combining
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the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year. Generative models, such as large language models (LLMs), have exhibited remarkable success in
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for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters