Sort by
Refine Your Search
-
learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful. This work will involve developing and applying interpretability
-
grant to investigate “Connecting interchange reconnection to switchbacks in the solar wind”. Candidates with a strong track record in MHD modelling, and/or familiarity with solar wind observational data
-
in crystal synthesis, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals
-
are seeking a highly-motivated and ambitious researcher with a strong background and experience in RF/microwave engineering, additive manufacturing, and AI modelling to work on cutting-edge research in
-
energy potential, product yields and environmental impacts. In addition, the Research Associate will play a key role in the design and development of pelletiser and pyrolysis systems, supporting
-
Etchells at Durham Biosciences and Dr Natasha Savage at the University of Liverpool, aimed at understanding cambium development in the model species Arabidopsis. The position is based in Durham in the lab