Sort by
Refine Your Search
-
level training in a relevant field. For Appointment at Grade 7: A2. Normally Scottish Credit and Qualification Framework level 12 (PhD) in a relevant subject such as computer science, statistics, machine
-
therefore still accept any of the English tests listed for admission to this programme. Pre-sessional courses The University of Glasgow accepts evidence of the required language level from the English for
-
Graduate Teaching Assistant – Grade 6 Job Purpose Within a clear and established Psychology teaching programme, contribute to the delivery of an excellent student experience by undertaking a range
-
” or equivalent). Alternatively, applicants without a Master’s degree can be considered for admission to the PhD programme if they achieved a first-class honours result (or international equivalent
-
Programme Director (email: james.boyle@glasgow.ac.uk ). Study options Study options PhD Duration: 3/4 years full-time; 5 years part-time MD Duration: 2 years full-time; 4 years part-time Entry requirements
-
for Chinese language acquisition, in order to contribute to the design and delivery of the Chinese Undergraduate programme to degree level. The postholder will undertake Scholarship of Learning and Teaching
-
. Undertaking a PhD programme in Applied Linguistics also offers students the chance to engage with scholarship in the field from a wide variety of researchers in institutions across the world, through our
-
: Create your own research proposal You can create your own project, source a supervisor and they will choose an MSc programme that aligns with your research proposal. Create your own PhD proposal Create
-
degree level programmes. We therefore still accept any of the English tests listed for admission to this programme. Pre-sessional courses The University of Glasgow accepts evidence of the required language
-
either bioinformatics, computational biology, or a related a biological + computing domain. A2. Experience of transcriptomic and epigenomic (ChIP seq, Cut & Tag, ATAC seq) data analysis and knowledge