126 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Politecnico-di-Milano" positions at KINGS COLLEGE LONDON in United Kingdom
Sort by
Refine Your Search
-
conditions. About the role We are seeking a highly motivated postdoctoral Research Associate in research data science and analysis to join Professor Gerome Breen’s internationally recognised team at King’s
-
-centred mental health care. The postholder will play a central role in collecting and analysing large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk
-
large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
-
, epidemiology, health data science, or other closely related disciplines. They will bring internationally recognised expertise in statistics and methodological leadership in digital trials, demonstrated by a
-
the Centre’s wider ethos of coproduction. Using your experience in quantitative data analysis, you will examine the links between mental distress and work, care and welfare. You will take forward some selected
-
of clinical data and bio samples (blood and cerebrospinal fluid) from patients. The main focus is on an exciting new prospective, longitudinal study aiming to assess the immunological effects of antipsychotic
-
processes such as reporting and extracting data, ensuring accuracy of data and identifying and resolving issues Triage students’ pastoral care needs, resolving non-complex issues and where appropriate and
-
are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
-
data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
-
surveillance, and will contribute to the development of novel approaches for managing confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research