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depressive symptoms in young people in higher education (YPHE) using ubiquitous smartphone data. Project Description: Mental health challenges, particularly anxiety and depression, are highly prevalent among
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the likely clinical outcome and aligning this with the patient’s known individual goals and preferences. The planned mixed-methods PhD will incorporate a scoping review, a data linkage study, and qualitative
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the research. They will conduct relevant systematic and/or meta-analytic reviews to describe the current literature and inform their research. They will undertake qualitative data collection and analysis and use
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third over the past 25 years, which is inferred from sparse soil data and the widespread decline of their avian predators. Recent developments in soil geophones and contact microphones have enabled
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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impacts of exposure to heat in primary school-age children in Accra, Ghana and leverages extensive existing research infrastructure, data, and partnerships. It is designed around three core objectives: To