23 assistant-professor-computer-science-data Postdoctoral positions at University of Liverpool
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between Departments is important to the role which will be based in the Materials Innovation Factory. The post will involve leading an iterative programme of applied polymer chemistry and materials science
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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
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also offer some opportunities to actively contribute to research design, data analysis, presentations, and public engagement outputs. To support professional growth, the Research Assistant will receive
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, 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
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sits in the Department of Health Data Science (HDS), which is part of the Institute of Population Health (IPH) at the University of Liverpool. This is an exciting opportunity for an early career
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anniversary in 2031, the University of Liverpool is proud to launch the second cohort of our prestigious Research Fellowship programme, a cornerstone of our Strategy 2031 vision. We are seeking Research Fellows
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research with autistic people or people with cancer and/or long-term health conditions Working with minoritised or seldom-heard groups Qualitative data collection and analysis Dissemination of research
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research team led by Professor Jane Hurst, where we will be assessing responses of different rodent species to specific test stimuli under both semi-natural and field conditions. The post is based
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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We have an exciting opportunity for a postdoctoral researcher to join Professor Tagliabue¿s research group at the University of Liverpool. The group combines models and observations to investigate