Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
training programme or within 4 years full-time equivalent of completing their training programme are eligible to apply. Clinical work during the PhD will be limited to one day per week. Doctors and dentists
-
of cells. Our computational team supports the research activities of both experimental and computational scientists within the CVR (https://cvr.ac.uk). The postholder will contribute to the analysis
-
data using computational tools (LexisNexis, NVivo, R, Python, etc.) and a familiarity with computational social science methods. Experience Essential E1 Experience of delivering quality outputs in a
-
of The University of Glasgow Inference Dynamics and interaction Research group, in the School of Computing Science, including establishing and sustaining a track record of independent and joint publications
-
Job Purpose To work on a Knowledge Transfer Partnership funded programme with the aim of embedding expertise in group III-V and group IV semiconductor materials, allowing for the creation of new
-
of Glasgow Centre for Virus Research (CVR) (http://www.cvr.ac.uk/) and will play a leading role in a UKRI-funded research programme focussed on identifying, characterising and manipulating host enzymes
-
and administrative implementation of all related activities to ensure a high-quality research programme is delivered. Main Duties and Responsibilities 1. Provide high-level administrative support and
-
to contribute towards the STFC Late-Stage Commercialisation project “Natural NDT-CE” under PI Dr David Mahon. The candidate is also expected to support the wider experimental research programme of the Nuclear
-
Job Purpose The post holder will drive an interdisciplinary artificial intelligence (AI) for cancer project. The project will develop novel computational methods that leverage state-of-the-art deep
-
tissue-level determinants of proarrhythmia in an experimental model of long QT syndrome (LQTS) with translation into novel risk stratification approaches using computational modelling. The successful