77 data-"https:"-"https:"-"https:"-"https:"-"Stanford-University" positions at Ulster University
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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
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difficult to interpret and require vast amounts of data to perform well. This PhD will investigate how AI can become more adaptable, efficient, and understandable by integrating people directly into the
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary AML investigators must recognise diverse money laundering typologies, but training is constrained by
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary PhD Opportunity: Market Intelligence for Global Growth in Northern Ireland’s Spirits Sector Are you
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary The UK has set a Net Zero target by 2050, which means no longer adding to the total amount of greenhouse
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detection and trigger adaptive interventions. The methodology may involve interactive tasks simulating cognitively demanding contexts and collecting sensor data (Heart Rate Variability, touchscreen
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nutrition, genetic, lifestyle and environmental data; Aim 2. Utilise AI and advanced machine learning approaches to identify novel gene-nutrient interactions to inform personalised nutrition solutions