46 computer-"https:" "https:" "https:" "https:" "Constructor University" Postdoctoral positions at Queen Mary University of London
Sort by
Refine Your Search
-
Maria Liakata in the context of the RAi UK/UKRI funded Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https
-
mechanisms linking matrix mechanics, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate
-
protection, but how these microbes acquire the genes underlying such benefits remains unclear. In the Henry Lab at Queen Mary University of London, you will study how bacteriophages and other mobile genetic
-
Research Associate About the Role The School of Electronic Engineering and Computer Science at Queen Mary University of London seeks to recruit a Research Assistant (RA) or a Postdoctoral Research
-
Skip to content Postdoctoral Research Associate in Machine Learning for Cardiovascular Digital Twins Opportunity ID 11264 Faculty University Research Institute Location QM London Contract Type
-
ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our Electronic Engineering research output (REF 2021). We offer
-
equal first in the UK for the impact of our Computer Science research, and second for our Electronic Engineering research output (REF 2021). We offer high-quality education to students from diverse
-
Engineering Biology, [email protected] About the Role About the Role Queen Mary University of London is recruiting a Postdoctoral Research Associate to join Dr Lin Su's group and work on S-LATTICE, a 36
-
University of London operates. The AAA team delivers a portfolio of projects covering user-facing AI agents, integrations across university systems and new microservices that automate and improve day-to-day
-
, Queen Mary University of London. The post is funded for up to three years through a recently awarded MRC grant and is expected to start no later than November 2026. The project aims to understand the