-
Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
-
Next generation modelling for the pharmaceutical industry School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Prof Rachel Smith, Dr Smitha
-
GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
-
diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
-
complexes. Previous experience of coordination chemistry and the characterisation of photoactivated/luminescent compounds including emission spectroscopy and TCSPC are essential, experience in steady-state
-
statement when you apply. Criteria Essential or desirable Stage(s) assessed at Proven experience in portfolio/programme management with demonstrated team leadership, and successful implementation of portfolio
-
a mixture of experimental and computation work. A current key focus of the group is development of new multiscale modelling approaches, coupled with data driven modelling techniques, to support
-
”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
-
within and aligned to the core substantive spine of our undergraduate Politics and International Relations programme. The School provides an inclusive, pluralist and friendly place to work. We are also
-
High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom