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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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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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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
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Background In the UK and Ireland, an aging population are increasingly living with multiple long-term
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biological samples for markers of inflammation. Statistical analysis of large data sets along with report writing will be integral to its success. Essential criteria Applicants should hold, or expect to obtain
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary Financial crime detection systems struggle against adaptive criminals who evolve evasion tactics