704 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of all polluting vehicles by 2035. With over 14 million electric cars on the road globally in 2020, the majority of the lubricants utilised for these vehicle transmissions were developed for non-electric
-
Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
Landscape Award at the University of Sheffield. This project will develop a Vertical Take-Off Vertical-Landing (VTVL) rocket, also known as a “propulsive lander” or “hopper”. The technologies developed and
-
to participate in the world-leading research undertaken by the EPSRC Doctoral Landscape Award at the University of Sheffield. This project aims to develop and demonstrate novel bio-inspired micro-electromechanical
-
interview Further Information Next steps in the recruitment process It is anticipated that the selection process will take place in January 2026. This will consist of an interview and presentation. We plan
-
challenge: the analysis methods must be fast enough to provide near-real-time feedback. Developing a rapid, accurate and resource-efficient method for analysing shell structures is of significant interest
-
to define information as a measurable quantity. This project aims to develop new information theoretic methodologies for identifying causal behaviours, embedded in data, in order to help diagnose the cause
-
. This project will develop a revolutionary new type of microscope—a "quantum sensing microscope"—to observe the secret life of bacteria as they interact with the body’s defence system. This will give us a way to
-
, properties of aggregating DPRs outside cells, in the test tube, have not been sufficiently characterised. Currently, it remains unclear whether therapies aimed at reducing DPR aggregation should be developed
-
delay discoveries by years. This project will solve that problem. You will not only develop intelligent software inspired by the latest artificial intelligence, but you will also travel to these world
-
problems. A key aim of this PhD is therefore to develop novel IRL algorithms tailored to this setting, capable of extracting hidden reward functions from real-world, imperfect data. This will allow us to ask