152 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "J. F" positions at Ulster University
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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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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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, 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
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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 basis for more than one year (or part
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, 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 on a programme of
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that they have lived in 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
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: Strong programming skills in Python (NumPy, pandas, PyTorch or TensorFlow) Machine learning fundamentals and algorithmic thinking Ability to design and implement computational experiments Clear technical