Sort by
Refine Your Search
-
Unit at the University of Cambridge provides an ideal place to commence a career in Biostatistics. Our thriving PhD programme is hugely successful and competition for places is high. The BSU's relaxed
-
Lucy Cavendish College, part of the University of Cambridge, is seeking to appoint a driven individual to work within the Student Office. The Student Office Programme Administrator will have
-
Fixed-term: The funds for this post are available for 3 years. A doctoral studentship is available in the forthcoming Aspirational Computing Lab (February 2026) in the Department of Computer
-
Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227453 Is the Job related to staff position within a
-
Our inclusive and vibrant community exists to advance education, religion, learning, and research. We have around 275 non-academic staff, as well as approximately 130 teaching Fellows and around 800 students. At King's we are committed to paying all our staff the Living Wage and offer some...
-
will be tasked with the development of new models for the early detection of CIN cancers, applying bleeding edge computational methods and machine learning approaches to improve detection and
-
nanofabrication, photochemistry, laser science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role The successful candidate will work on the numerical design and
-
of materials. Applicants should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will
-
their research findings. Training in all the computational and experimental methods will be provided in the project, although relevant previous experience would be advantageous. Applications for this PhD project
-
, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will be