Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Department: School of Languages, Linguistics & Film Salary: £49,785 per annum (Grade 5) Reference: 1589 Location: Mile End Date posted: 19 March 2024 Closing date: 8 April 2024 Further details and
-
Department: School of Languages, Linguistics & Film Salary: £42,405 per annum pro-rata (Grade 5) Reference: 1502 Location: Mile End Date posted: 18 March 2024 Closing date: 9 June 2024 Further
-
across NHS, social care and third sector services in England. We will also work closely with the Bengali community in east London to adapt the intervention culturally and linguistically. You will work in a
-
. The appointee will be expected to have a proven record of excellence in teaching Classical Literature and Latin Language, or, in the case of early-career candidates, relevant experience and demonstrable potential
-
related. Experience of code development in a major programming language (such as C, C++ or Java) is essential. Experience of phylogenetics software development, use of high-performance computing
-
communication skills, both written and verbal, should allow you to translate complex IT scenarios into comprehensible language for all stakeholders. About Queen Mary At Queen Mary University of London, we believe
-
, Python, Ruby). You should be able to work effectively with scientific researchers with diverse cultural backgrounds, and for whom English is not the first language. For more information, you are encouraged
-
strong quantitative component. Ability to programme in a suitable language, such as R (preferred), Python, C/C++ or Visual Basic is essential. Further particulars are included in the job description. The
-
team members. To be considered for this role, a passion for web and application development is a must have, along with knowledge of programming using a language such as JavaScript, C#, Python or Java
-
on before it becomes widespread within a population. The successful applicant will develop a Large Language Model (LLM)-based tool for predicting mutations causing resistance trained on features derived from