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Field
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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the biological basis of these associations remains poorly understood. Past efforts have investigated the link between obesity and the primary tumour, but these analyses relied on data derived from bulk tissue
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contact the main supervisor, Dr. Lanlan Su - lanlan.su@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about
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equivalent); and Master's degree in a relevant cognate subject - with an overall average of 70% or above (or overseas equivalent) Nationality restrictions This funding is available to all nationalities. Other
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Institute Eligibility criteria You must have, or expect to achieve, at least a masters degree (e.g. MRes) with merit, or international equivalent in an appropriate subject, including: biomedical sciences
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products, including vaccines and novel therapy veterinary medicinal products. Your primary role will be to assess data submitted by pharmaceutical companies in support of their applications for new marketing
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. The start date for the PhD is the 15th September 2025. Eligibility Requirements: Applicants should have a minimum 2:1 degree in a health, physiology and exercise related subject. A taught MSc or Masters by
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level (or international equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first
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) to characterise the lithic component of these events. Eligibility Applicants should have a first or upper second class honours degree in Geology/Earth Sciences or a similar subject and/or a relevant Masters
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industrial spheres. By the end of the project you will have mastered environmental surveying, microbiological sampling, high-frequency sensor deployment, drone-based imaging and the bioinformatic analysis