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has previously secured their own independent, external research funding, or secured prestigious appointments, in an area of relevance to DSIS. The successful applicant will have a PhD, a track record of
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. To interact closely with postgraduate research students who are studying for a Masters or a PhD and have an agreed role in supporting these students in their day to day research in conjunction with
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. To interact closely with postgraduate research students who are studying for a Masters or a PhD and possibly have an agreed role in supporting these students in their day to day research in conjunction with
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of prime editing approaches (Scholefield 2021; https://pubmed.ncbi.nlm.nih.gov/34031549). The group currently comprises two full time post-docs and two PhD students, a research assistant and a lab
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citizens. The successful candidate will provide a CV with evidence for how they meet the following criteria: · The candidate must have concluded a PhD in Computer Science, Data Science, Artificial
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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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and security. The ideal candidate will have/be: • A PhD qualification in nutrition or epidemiology or public health or cognate discipline. • Experience of big data from a nutrition
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at the cutting edge of micronutrient research. The ideal candidate will have/be: • A PhD qualification in Human Nutrition. • Deep knowledge of food data, including composition, intake and analysis. • Good
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studies, co-design, consensus builing, implementation and evaluation studies. These posts are suitable for newly qualified PhDs in areas such as health professions’ education, sustainability education
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by liquid chromatography tandem mass spectroscopy (LC-Tandem MS). The ideal candidate will have/be: • A PhD qualification • A high level of experience using liquid chromatography/mass spectroscopy