Careers with maths
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Maths Photo 2012Do you want to amaze your maths teacher and fellow students? Can you show some maths just by taking a photograph and adding a caption? Would you like to win a £100 Amazon Voucher?

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Preventing avalanches, shaving precious milliseconds off lap-times in Formula One, creating beauty in art, music, fashion and furniture design, testing the powerful engines for new aircraft, planning the Olympics, bringing maths to life on the stage, writing fiction and reporting facts... What do all these jobs have in common? They all use maths!
Our library of in-depth interviews explore the careers of people who use maths in their jobs every day. Browse the library and discover how maths gives you skills that you can use in any career. Maths opens the door onto a wide variety of exciting careers – find out where maths can take you!
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Genomics is one of the fastest moving areas of science and Gavin Harper, a mathematician and statistician, has put himself right at its centre. He works for Oxford Nanopore Technologies, a company which is developing new technology for analysing molecules and sequencing DNA. With 75 employees from 18 different countries and all sorts of scientific backgrounds, Gavin's work environment is
nothing like the solitary paper-and-pencil affair traditionally associated with mathematics.
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If you're interested in maths then Marcus du Sautoy does not really need an introduction: he is well known for his TV and radio appearances and popular maths books. And he's also written for Plus in the past. In this interview he chats about his work as a mathematician and maths populariser. |
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Africa isn't a continent that's famous for cutting edge research. But at the University of Stellenbosch, 50km East of Cape Town, South Africa, Kiran Dellimore and his team are engineering medical equipment that will save the lives of people all over the world. Latest projects include replacement heart valves made from kangaroo tissue and equipment to help resuscitate people in emergencies. |
Teaching a machine to understand music is an incredibly difficult task, which uses all the mathematical power of digital signal processing. But teaching a machine to compose music is quite another matter, and the wonderful world of mathematical patterns proves to be a gold mine. Nick Collins talks to Plus about his artificial musician.
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