It was good to see everyone and celebrate at the Cross-cluster project close meeting. It was a very successful project on Accelerating neutron tomography with applied deep learning. We have developed two novel approaches using neural networks to denoise and remove angular undersampling artefacts in tomography datasets; we developed and demonstrated them using neutron tomography […]
Join us for an undergraduate summer internship with Faraday in the Chemical Imaging of Batteries. Studying a STEM degree? Wondering what career to pursue? Interested in finding out more about the battery sector? Keen to spend time with a dynamic community of pioneering battery researchers seeking to find solutions to support a fully electric future? […]
Our Chief Scientific Officer Prof. Andrew Beale will be speaking at an afternoon workshop on the topic of Neutron Powder Diffraction on Catalytic Materials on 22 March at 13:30 GMT. The workshop will take place in Building R68, Room CR12, Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, OX11 0QX. Neutron diffraction is a powerful technique for […]
We invite applications for a Machine Learning and Tomography Scientist. The position is initially limited to 1 year. As the Machine Learning and Tomography Scientist, you will be responsible for developing algorithms and machine/deep learning models to handle, analyse and denoise X-ray CT, spectroscopy and diffraction/scattering data. For more information and to apply visit – […]