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digital health company, the research project will develop and evaluate an AI enabled rehabilitation model that identifies individual needs and connects patients to the most appropriate exercise and support
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are looking for a PhD candidate to research new adaptative architectures and foundation models for the integration of healthcare data specifically incorporating patient preferences. This includes challenges
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are especially challenging to represent in numerical models of the atmosphere. Clouds affect the Earth’s radiation budget. Changes in their properties, either due to global warming or aerosol pollution, can
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understanding of these cell death processes as well as the survival and performance of different yeast species in industrial bioprocesses. In this project, you will: develop mathematical models on how yeast cell
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methods: The Met Office aims to help its customers stay safe and thrive by producing reliable weather and climate information. Numerical models of the climate system are an important tool to help achieve
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continuous lifetime treatment. Recent efforts to cure HIV infection have focused on developing latency reversing agents as a first step to eradicate the latent reservoir and animal models are being studied
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM
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learning models to forecast and visualize heat flow and occupant comfort metrics. Identify key drivers of energy inefficiency, including occupant behaviour patterns and physical heat loss hotspots. Formulate
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Make a difference with your research. Join us to build advanced population models based on the field observations. You’ll collect and analyse data on conservation options - predator management
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collaborates with prestigious global companies and institutions. This PhD project, a collaboration between AMADE and Btechc, addresses the high computational cost of modelling failure in large-scale composite