140 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" uni jobs at Ulster University in United Kingdom
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Hypertension is the leading risk factor contributing to all-cause mortality and is estimated to affect
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? Below are examples of past research projects, which could be built upon through the MRes studentship: Adolescent Transmission of Conflict Related Information: Adolescents played an experimental game
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Apply and key information Summary Caregiving for a child with a chronic, life-threatening or life-limiting condition is a complex family endeavor that extends far beyond the parental role. While
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Summary Financial markets must assess how valuable a company's innovations are, but this is difficult. Patents contain rich information about innovation quality, but extracting meaningful signals
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Apply and key information Summary Mental health problems are a leading cause of global disease burden, yet mental health research has made only modest gains in our understanding and treatment
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without inadvertently triggering a nocebo response through the power of suggestion. Despite the necessity of describing pain components (e.g., experimental manipulations) in Participant Information Sheets
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Apply and key information Summary Emotional granularity, or differentiation, reflects how precisely people perceive, experience, and label emotional states (Barrett et al., 2001). Closely related
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. Methods to be used: This project will employ mainly qualitative methods. Interviews and observational data will be used to gather information from key stakeholders involved in the community support of
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Apply and key information Summary This MRes project will focus on the development and investigation of the health benefits of sustainable marine derived lipids. In particular, the project will focus
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machine learning with spectral data to enable rapid, non-destructive detection of food adulteration and fraud. Machine learning combined with spectral data can play a vital role in combating food fraud by