234 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Glasgow in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Field
-
levels of tooth decay than their peers. The project: The Childsmile programme (https://www.childsmile.nhs.scot/), funded by the Scottish Government, aims to improve child oral health, and reduce
-
. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https
-
. Techniques used: Timelapse imaging RNAseq Mathematical modelling References: James et al. 2024 REVEILLE2 thermosensitive splicing: a molecular basis for the integration of nocturnal temperature information by
-
Student experience https://www.youtube.com/watch?v=oCXutRm1wc8 Study options Study options PhD: 3 years full-time; 5 years part-time MPhil: 1 year full time; 2 years part-time Also see our online Doctorate
-
. However, whether TPL-2 plays any functional role in the nucleus is currently unknown. Published studies and preliminary data generated within the Carmody lab indicates that TPL-2 may interact with and
-
, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Closing Date: 11 January 2026 at 23:45
-
shape the response to anti-cancer therapy. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial
-
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
-
the effects of extreme heat and cold exposure on health outcomes in people with multimorbidity, using a combination of population-based data analysis and controlled experimental approaches. The project will