20 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Postdoctoral positions at University of Liverpool in United Kingdom
Sort by
Refine Your Search
-
-pathogen signalling networks in macrophage infection models. You will work in the laboratory of Dr Dominic Byrne, and in collaboration with Claire Eyers from the Centre of Proteomic Research (CPR). You
-
A full-time postdoctoral position is available in the lab of Dr David Wilkinson in the Department of Musculoskeletal and Ageing Science at the University of Liverpool. This exciting
-
) for Wi-Fi. You will join the team of Dr Junqing Zhang in the School of Computer Science and Informatics at the University of Liverpool. The project will focus on innovative and practical radio frequency
-
, helping to enhance animal welfare, reduce antibiotic use, and support a more sustainable dairy industry. You will work alongside Dr. Joe Neary and Professor. Rob Smith, leaders in livestock health research
-
). You will work with the Principal Investigator (Prof. James Lea) to agree a programme of work that both delivers project aims and draws on your strengths. There will also be opportunities to pursue your
-
of automated workflows for the analysis of existing remote sensing data archives and potentially near-real time analysis. You will work with the Principal Investigator (Professor. James Lea) to agree a programme
-
, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the Maritime Future Fuels Training Plan project, which aims
-
programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
-
statistics or economics, with experience in epidemiological analysis, statistical programming (e.g. R ) . The post is available for up to 26 months, full-time, with hybrid working from our Liverpool campus
-
programming skills, and experience with modern machine learning approaches. You will analyse pangenome structure and dynamics, develop new computational methods for comparative genomics, and investigate