161 computer-science-programming-languages-"FEMTO-ST"-"FEMTO-ST" positions at Imperial College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
applying machine learning to a large and diverse, curated clinical dataset. The candidate should have a PhD or MSc in a relevant field such as Neuroscience, Cardiovascular Science, Computer Science
-
Application Location: London, London, United Kingdom of Great Britain and Northern Ireland [map ] Subject Area: EPSRC Programme Grant DataSig II Appl Deadline: 2025/11/14 11:59PM (posted 2025/10/17, listed
-
and Systems across the many Departments that form the Property Division. The duties are extremely varied however you will predominantly support the implementation of the Great Service Programme
-
. The job involves working with the project manager to deliver the dual elements of the programme: a cohort-based support programme for 60 small businesses, and a new, UK-wide network of climate innovation
-
work with Prof Declan O’Regan, in the Computational Cardiac Imaging Group, as part of a British Heart Foundation funded program of research on “Understanding the transition from health to disease through
-
that enhance teaching, learning, and decision-making across Imperial College London’s Faculty of Engineering. As a key member of the Education Systems and Delivery Team, you will lead the development
-
opportunity to contribute to a high-impact international research programme that shapes global recommendations on cancer prevention and survivorship. Our team is at the forefront of the Global Cancer Update
-
About us A post-doctoral research associate position is available at the Photonics & Nanotechnology group, Physics Department, King’s College London, funded by the EPSRC Programme Grant Catalysis
-
: A PhD (or equivalent) in health economics, epidemiology, computer science, or a related field. Experience building or using microsimulation models or other quantitative policy tools. Strong
-
cloud computing, recommending and implementing improvements to our infrastructure. The ideal candidate will be educated to degree level (or equivalent) in a Computer Science or a closely related subject