Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
. The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all
-
, Institute of Life Course and Medical Sciences (the University of Liverpool). The post is funded for 30-months, full-time. A PhD (or about to obtain) in extracellular matrix proteomics is required
-
into their lives using innovative digital technologies. You should have (or be about to obtain) a PhD in history, criminology or cognitive discipline and have experience of using relevant research methods and
-
clinical and academic researchers to work independently and to support our PhD students and technical staff in the laboratory. An understanding of, or desire to learn single cell transcriptomics and the
-
of Alcohol Research and the Liverpool University Hospital Foundation NHS Trust. You will have expertise in health data, data science, statistical modelling and/ or artificial intelligence. You will be based in
-
biomolecular interfaces. It also covers development of bespoke Molecular Replacement methods to fully exploit RNA structure predictions. You should have a PhD degree (or equivalent experience) in Informatics
-
cross-disciplinary team of scientists, including pharmacologist, biomedical engineer and mathematical modeller under a Wellcome Trust funded research programme. You should have a PhD degree in stem cell
-
fieldwork duties, frequently with overnight stays, and you should be comfortable working alone in the field, often in inclement weather. You should have a PHD in biogeochemistry, aquatic ecology, or related
-
the Liverpool University Hospital Foundation NHS Trust. This post will be based in Professor Sir Munir Pirmohamed¿s Research Group, a multi-disciplinary team of clinical, data and discovery scientists working in
-
) at the University of Liverpool. You will join an ambitious EU-wide collaboration (TARGET: Health virtual twins for the personalised management of stroke related to atrial fibrillation) developing novel AI-powered