23 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" positions at University of Glasgow
Sort by
Refine Your Search
-
Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. The successful candidate for this post will
-
projects Evaluating the reach and impact of the Childsmile programme: Scotland’s national child oral health improvement programme Supervisors: Professor Andrea Sherriff , Dr Marie Kotzur , Professor David
-
is equivalent to US tenure track Assistant or Associate Professor. Job Purpose The postholder will: * Lead the development of an independent research programme focused on novel analytical methods
-
research and are able to draw on wider supervisory expertise relevant to you chosen area of interest. For more information or to discuss your interest in and suitability for the programme please contact
-
well as in liver regeneration and cancer. Leveraging publicly available spatial datasets, this project aims to develop data-informed computational modelling and systems biology framework to dissect molecular
-
Science, or Health Informatics. . A2 Strong knowledge of epidemiological and biostatistical principles applied to healthcare data, with experience integrating these with data-science or AI/ML methods. A3
-
. The appointment is full-time (35 hours per week) and open-ended. Informal enquiries should be directed to Professor Irene-Marie Esser, Irene-Marie.Esser@glasgow.ac.uk . Visit our website for further information
-
if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect: 1 A warm welcoming
-
too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Closing date: 11 January 2026 at 23:45
-
significant societal relevance. This is an intellectually stimulating role for a researcher with a PhD in geospatial data science, urban studies, public health, or a related field (or equivalent experience