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: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
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administrative tasks related directly to the delivery of the research Promotes equality and values diversity acting as a role model and fostering an inclusive working culture Assist in writing papers for high
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model and fostering an inclusive working culture. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer
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, a three-year Bachelor of Science Midwifery, a four-year Master of Nursing, and a two-year postgraduate MSc Nursing programme. The department also offers a range of programmes aimed at qualified
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MSc Nursing programme. The department also offers a range of programmes aimed at qualified practitioners including Advanced Clinical Practice, Independent Prescribing, and an MSc Midwifery (RN to RM
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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in phonon calculations Experience of the VASP Code Experience of kinetic Monte Carlo Experience of Grain Boundary Modelling Experience of working with High-Performance Computing platforms Experience
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data