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Oh I should also mention - if you're interested in playing with cool hardware and data, we're a great place to come. We use a cluster of hundreds of Tesla K80 GPUs, and have many millions of medical images - some single images are over 10GB in size. Many are 3d, which makes for some really interesting engineering challenges.

We use a wide range of tools and languages, including AngularJS, React, ES6 / Coffeescript, Python (Theano, Pandas/Numpy/etc, Flask), and C++ (Caffe). We have regular journal club talks (mainly recent deep learning papers), and a good mix of research and applied work.

Our day to day work covers a lot of cancer detection and treatment planning, as well as a wide range of other high impact medical issues - the consistent underlying theme is using a data-driven approach to improving patient outcomes. There are particularly big opportunities (both financial and social impact) in the developing world.

We're working with many of the top academics in the medical diagnostics field, and are partnering with some of the top hospitals around the country and around the world.



Are you guys open to accepting a trainee or an apprentice? This sounds like somewhere I would really want to work and I'm willing to start from the bottom if necessary.




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