Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
-
groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. The Department has also made recent appointments in Quantum Computing and
-
managing the administration of taught programmes within the school. The role will be responsible for ensuring the smooth running of multiple diverse in-sessional, pre-sessional, foundation, undergraduate and
-
across multiple sites and provide the infrastructure and support for all our research, teaching and learning activities. About Queen Mary At Queen Mary University of London, we believe that a diversity of
-
supporters. You will be comfortable managing multiple projects simultaneously, and your natural enthusiasm for relationship-building will shine through in everything you do. Strong writing skills and a
-
, matrixed environment. Demonstrated experience in leading cross-functional projects with multiple stakeholders. Strong commercial acumen and financial oversight capabilities. Resilient, solutions-focused, and
-
to providing an outstanding level of customer service. Exceptional attention to detail and excellent time management skills. Skilled in handling a busy workload, prioritising multiple deadlines, and
-
activities, including updating course webpages, producing performance reports, managing social media content and scheduling, and supporting campaign delivery across multiple channels. You’ll also liaise with
-
including malaria, have experience and understanding in using multiple metrics for analysis, experience with design and implementation of study protocols, experience of data analysis in Stata and programming
-
diabetes and prediabetes by analysing voice patterns, providing a non-invasive and innovative method for early diagnosis. Specifically, this project will develop novel deep learning algorithms, and audio and