319 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Keele-University" positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
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
-
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
-
Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
-
safety, information management, governance, communications and other general projects by providing high quality and effective administrative support, in accordance with university and faculty priorities
-
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
-
perspectives into cancer care. The successful candidate will be based within the TOUR team and will hold an honorary contract with The Royal Marsden, enabling access to data and facilitating close collaboration
-
Proficiency in commonly used office software (such as Microsoft Word, Excel, Teams, SharePoint and Outlook or equivalent), with the ability to produce accurate documents and manage data effectively. Numeracy
-
responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research