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as part of TRACE (Technological Revolution towards an Agri-food Circular Economy), a €5.89m cross-border project supported by the European Union’s PEACEPLUS Programme and managed by the Special EU
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by 2050, to mitigate against the effects of climate change. Key areas identified by the Department for the Economy’s ‘Energy Strategy’ and ‘Energy Action Plan 2025’ for innovation include expanding
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by 2050, to mitigate against climate change. The Department for the Economy’s ‘Energy Strategy’ and ‘Energy Action Plan 2025’ highlight innovation priorities including expanding renewable energy
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already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award of an MRes or doctoral degree are NOT eligible to apply for funding. Applicants who hold
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admission requirements may be offered admission on a self-funded basis. Applicants who already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award
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Pharmacist-Led Medicines Optimisation in Metabolic care: a Cross-System Implementation Science Study
Apply and key information This project is funded by: Department for the Economy (DfE) Summary This PhD programme will develop and evaluate AI-assisted, pharmacist-led clinical decision-support
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the EEA, Switzerland, the UK or Gibraltar for at least the three years preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered
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preceding the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a
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the start date of the research degree programme. Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time
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, financial technology, policy analysis, or academia. Ideal candidate: Background in computer science, data science, finance, economics, or related quantitative fields. Strong programming skills (Python/R