Sort by
Refine Your Search
-
Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
-
Waltham Forest. The Weight Action Programme is commissioned by Tower Hamlets. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously
-
modules on Latin Literature and the core module of our Foundation programme, Foundations of Classical Studies. They will also be required to supervise second-year projects on Virgil and final-year students
-
. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
-
the clinical lecturer will refine their research focus and build their own research programme. Clinical and non-clinical academics at LSHTM have research programs in a wide range of primary care and global
-
. The Role The University of London is accepting applications for Online Tutors with a specialist background as a Final Project Supervisor to support the online MSc Data Science programme, with academic
-
endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data
-
comprehensive network refresh programme to modernise and enhance its IT infrastructure. This strategic initiative will improve performance, security, and resilience across the organisation, supporting innovative
-
The Role The University of London is accepting applications for Online Tutors with a specialist background in Financial Markets to support the online MSc Data Science programme, with academic direction from
-
Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational