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Field
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skills with understanding of engineering design principles. Any experiences with CAD/CAM systems and programming are preferred. Funding Support The University promotes equality, diversity, and inclusion
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supervision from an experienced team spanning Manchester Met and Chester Zoo. You will benefit from a skills training programme through our Doctoral College, and will be based in the Faculty of Science and
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requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for three years and include full Home or International
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critically, and propose innovative solutions Strong organisational skills with the ability to plan and organise work effectively and generate comprehensive reports Desirable Experience in advanced
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-time situational awareness and enable timely mitigation actions. What you will gain: Strong programming and software skills in AI and scientific computing Mathematical Modelling and Analysis of real
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discipline. Programming skills in any language and knowledge of numerical methods for solving differential equations are highly desirable. Knowledge of heat transfer is advantageous. Applicants are expected
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to obtain) a 1st/2.1 or Master’s degree in Engineering, Physical Sciences, Life Sciences, Data Science, Mathematics, or a related field. Strong quantitative and programming skills are required. Interest in
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and postgraduate studies. Any scholarly publications. Project plan (1500 max excluding reference). The successful applicant will benefit from: A funded three-year PhD studentship, covering tuition and
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benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions
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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after