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. The successful candidate will contribute to understanding how modern machine learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful
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include training neural networks to act as fast drop-in replacements for advanced X-ray timing and polarisation models (e.g. the X-ray reverberation mapping code RELTRANS), and applying advanced Fourier
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reconnection to switchbacks in the solar wind". Candidates with a strong track record in MHD modelling, and/or familiarity with solar wind observational data, are particularly encouraged to apply. The position
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apply cutting-edge techniques in crystal synthesis, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors
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at the University of Liverpool, aimed at understanding cambium development in the model species Arabidopsis. The position is based in Durham in the lab of Dr Etchells. The successful applicant will be expected
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and compilation of data on fracture characteristics; liaison with the industrial partner; literature review and synthesis; conceptual model development and investigating the translation potential