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. There is a robust body of research showing that children with good spatial abilities are better at maths and science (Atit et al., 2022; Hodgkiss et al., 2021). Relatedly, Spatial ability in childhood
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Dr Keeler's personal page https://www.birmingham.ac.uk/staff/profiles/maths/keeler-jack Funding notes: This project is directly funded, through the School of Mathematics for a suitably strong candidate
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, medicine, maths or environmental science. Thrive in a professional environment as part of a wider team. Have an inquisitive mind for research and proactive approach to problem solving. Can produce high
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with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
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life sciences degree, A-Levels or above in maths, statistics, or computing modules are desirable. With a physics or maths degree, life sciences modules at undergraduate level are essential. - Skills and
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. dissertation, research project, report) – this could be within an academic or professional setting. Maths or Physics A-level *Significant quantitative component examples include statistics, bioinformatics, maths
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-minded candidates who want to develop and use Franklin technologies in novel, interdisciplinary research spanning our different scientific challenges . We welcome candidates from any scientific, maths
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computing and the use of GPU clusters. Entry Requirements Acceptable first degree - Computer Science/Physics/Maths The standard minimum entry requirement is 2:1. First class in bachelor degree or a master
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(minimum 2.1 honours or equivalent) in a STEM subject including Computer Science, Data Science, Engineering, Physics or Maths. A relevant MSc/MEng is desirable but strong candidates without postgraduate
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Computational background: engineering, physics, maths, or computer science. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and a 300-word statement explaining your motivation