16 condition-monitoring-machine-learning Postdoctoral positions at University of London
Sort by
Refine Your Search
-
, Spain and Norway. The project runs until early 2028 and investigates the potential role of performance-based arts in understanding how coastal communities learn about and respond to ecological crises
-
interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
-
practice impact while also learning about machine learning techniques. The successful applicant will work in the newly formed Health Equity Evidence Centre and innovative new centre that will generate data
-
populations previously under-represented in clinical research. Populations of interest include pregnant women, people from minoritized ethnic groups, and people with multiple long-term conditions. The project
-
The University of London The University of London is the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 London-based universities, many
-
on childhood-onset neurological conditions. This role will explore the experiences of children and families affected by conditions like multiple sclerosis and movement disorders, including Cerebral Palsy
-
populations using patient samples and employing a combination of multi-modal techniques (scRNA-seq, scATAC-seq, ResolveOME) to develop novel assays for disease monitoring. The post is based at the Barts Cancer
-
possible for this role. Royal Holloway is committed to equality, diversity and inclusion (EDI), and encourages applications from all people regardless of age, disability, gender, marital status, parental
-
, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment. About the Institute The role will be based in the Digital Environment Research
-
under real-world conditions. The role includes collaboration with leading 2D materials manufacturers, offering potential for interdisciplinary research and travel. About You You should have a PhD (or be