103 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Imperial College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
care medicine collaborating with multiple specialities and funders. Furthermore, you will be expected to develop a nationally leading programme of research that will have excellent synergy with
-
for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
-
team comprised of Dr David Labonte (PI), and PhD students from different disciplines, working on different aspects of this project at the Department of Bioengineering , Imperial College London. David's
-
The Robot Learning Lab in the Department of Computing at Imperial College London is seeking a talented Research Assistant (pre-doc) for an ambitious new project on dexterous robot learning. In
-
to drive and support projects, co-lead collaborative teams, and engage in co-supervision of Master and PhD level students. We are looking for candidates who can thrive in this dynamic and creative
-
Applicants are invited to apply for a new vacancy at Research Assistant level in Surgical Vision and AI for intraoperative surgical navigation and computer-assisted diagnosis. The post is based
-
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
-
publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in Materials Science, Engineering, or other closely related field. Also
-
to execution, and contribute to the co-supervision of Master’s and PhD students. We are seeking candidates who will thrive in a fast-paced, innovative, and collaborative environment. Beyond your core research
-
will work alongside academics specializing in engineering and social sciences and practitioners who are developing and implementing cutting-edge methodologies. 1. A PhD in Electrical Engineering or a