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rehydration scenarios. The project will assess whether salivary biomarkers can reliably detect changes in hydration status, recovery strain and electrolyte-related responses following exercise, heat exposure
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-assisted soft-mist inhaler for patients who cannot reliably use conventional inhalers because of weak or irregular breathing. Many inhalers depend on the patient generating sufficient inspiratory flow and
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of surface water, groundwater, and probabilistic seepage analysis, together with modelling and uncertainty assessment techniques. Consideration of these interacting processes may help improve the accuracy and
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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AI infrastructure. The Opportunity This is an unprecedented opportunity for an outstanding data science and AI PhD candidate interested in brain data analysis and AI, supervised by Dr Mahsa Salehi
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polymer chemistry or tissue engineering. Strong skill set for data analysis and interpretation, coupled with excellent written and verbal communication abilities. Ability to work effectively in a
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while carrying heavy loads; a key challenge in military training where injuries remain common. Using advanced movement analysis, treadmill and real-world testing, and progressive training studies