-
University of Sheffield with the Sheffield-based team on Tuesdays, and to attend and participate in DGN team meetings. Because diverse teams help us address big global challenges, we welcome applications from
-
all year round Details Project details: Artificial Intelligence (AI) has been shown to be important in obtaining ‘big data’ from whole slide images (WSI) and offers unique opportunities for automated
-
infrastructure enablers to all our staff and students. This large and highly innovative department is undergoing a significant amount of change as it establishes itself as a key enterprise IT partner that works
-
materials as an addressing these challenges. A large experimental research programme is now attempting to explore these materials further and develop them for use in devices. To underpin this research we need
-
, professional or lived experience. Essential Application/interview Experience synthesising large quantities of information for presentation to different target audiences. Essential Application/interview
-
antimicrobials is of great interest currently. Among the bacteriophage a class of large, widespread, antibacterial viruses known as Jumbophage are receiving much attention due to the novel mechanisms they employ
-
consistently ranked in the top 5 in the UK’s Research Excellence Framework (REF). The position offers the successful candidate a chance to benefit from a large, vibrant and supportive Early Career Researcher
-
respond to future change. Your project will combine large-scale data synthesis, ecological theory and modelling to answer two central questions: 1. What is the functional diversity of grasses worldwide
-
firefighting search and rescue teams. The project scope is on real-time solutions for a small, medium and large number of entities with a swarm of UAVs. Computer Vision and Machine Learning approaches will be
-
resolution. Using these data, the student will build and calibrate numerical models to simulate conservative transport and mixing. A combination of particle-tracking and grid-based reactive transport models