Sort by
Refine Your Search
-
position initially and is expected to be held full time and in person. You will join the CNNP Lab, which is well supported with recent funding of over £3M. The lab is based in the School of Computing
-
-Trust funded research project which aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments. RELMED is a unique opportunity to
-
Document project progress, report results, and present findings to stakeholders Stay up to date with the latest machine learning techniques and tools, particularly in the field of computer vision The Person
-
pathogen Mycobacterium tuberculosis. You will develop a variation of ExM to be compatible with these bacteria and then use this to measure the distribution of Lipid II – an essential substrate in cell wall
-
the development of research and innovation funding applications. For more information about the Urban Sciences Building, please click here For more information about the School of Computing and our research, please
-
developmental post, and the successful candidate will be supported to develop legacy research plans from this research programme. The post provides an excellent opportunity for a motivated candidate to work with
-
from our previous and ongoing clinical research studies, as well as access to our high-performance computing clusters. This post is fixed term for a period of 3 years. For informal enquiries contact: Dr
-
an integrated programme of medicinal chemistry and further screening, PTSuppress will optimise these lead compounds and repurpose already approved drugs. Ultimately, we will validate the best compounds/drugs
-
decisions in acute leukaemia” award to Professor Moorman. The overall aim of the programme is to explore the genomic landscape of acute leukaemia and its association with clinical outcome. All the genomic
-
-diseases/ . This is an exciting opportunity to collaborate with computational and wet-lab scientists at the forefront of pioneering research. You will be responsible for designing and implementing proteomic