117 professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at University of Glasgow
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
clear and established teaching programme, contribute to the delivery of an excellent student experience by undertaking a range of teaching, assessment and administrative duties, principally
-
an international partner. A diverse programme of activities which will ensure you feel part of the wider-research community (including our biannual science slam event). A residential trip for all new research
-
collection), to a major centre in humanities computing. PhD: 3 years full-time; 5 years part-time; Thesis of 70,000-100,000 words MLitt (Research): 2 years full-time; 3 years part-time; Thesis of 40,000-70,000
-
multidisciplinary space science research cluster that spans physics, astronomy, planetary science and satellite engineering. Hands on training will be provided in the operation of the analytical techniques required
-
. Training and development The successful student will join a vibrant multidisciplinary space science research cluster that spans physics, astronomy, planetary science and satellite engineering. Hands
-
Responsibilities 1. Maintain a high standard of food preparation and presentation of food and incorporate new ideas or technology as it becomes available. 2. Be progressive and forward thinking, have up-to-date
-
century Renaissance’ 18th-century literary tradition Robert Burns studies Scottish Romanticism 20th-century Scottish modernism contemporary Scottish literature. Research groups Contact: Professor Alan Riach
-
at undergraduate level, in relation to the MSc in Sport and Exercise Science and Medicine, as requested by the Programme Directors for the campus and online distance learning. Main Duties and Responsibilities 1
-
, mechanism and application of DNA-rearranging enzymes, the translational genetics of myotonic dystrophy and related unstable DNA disorders and systems biology including ‘omics analysis and computational
-
We take a highly interdisciplinary approach to the study of infectious disease that combines mathematical and statistical modelling with ecology, evolutionary biology, parasitology, immunology and