58 parallel-and-distributed-computing positions at University of Liverpool in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Are you eager to make a meaningful impact on paediatric patient lives while honing your data science expertise? Join our vibrant, cross-disciplinary team as a Computational Biology Data Scientist
-
Hours: Full time (with possibility of less than full time upon agreement with Programme Director and funder) Contract: Fixed-term for 3 years Location: Liverpool/Remote/Overseas (Global South) Fully
-
services funded by ESRC's Smart Data Research UK (SDR-UK) programme. The Imago data service is a collaborative effort led by the University of Liverpool, Newcastle University, and Harvard University, and
-
. Civic Health Innovation Labs (CHIL) and the Virtual Engineering Centre (VEC) are now seeking a candidate to join the CHI-Zone programme team in the role of AI & Cyber-Physical Systems Engineer. As a key
-
, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
-
, multidisciplinary team of around 45 researchers and support staff brings together chemists, roboticists, engineers, and computer scientists, including PhD students, postdoctoral researchers, and experienced technical
-
between Carpenters Group and the School of Computer Science and Informatics. Carpenters are a market leading insurance legal services provider. Working within Carpenters, and a team from the School, you
-
Council and funded by the UK Research and Innovation. The project is designed to formulate a new model of distributive justice in response to growing economic disparities globally. The project is designed
-
expected to develop an internationally competitive programme of research in the broad area of maternal and perinatal health. They will be expected to collaborate with the wider research team in
-
to fostering collaboration and trust across the research community. You should have a Degree in computer science (or degree with strong computational component e.g. mathematics, physics, biomedical engineering