43 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of London in United Kingdom
Sort by
Refine Your Search
-
the School of Engineering and Materials Science, a large School with 120 academics and 70 postdoctoral research staff. There are around 1371 undergraduate and postgraduate students and 233 PhD students
-
About the Role The principal duty of the post will be to undertake high-level lab-based work, developing the research program as outlined. The role includes data analysis and achieving a steady
-
About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will
-
About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
-
. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
-
endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data
-
at the intersection of inflammation biology, therapeutic development, and precision medicine, contributing to projects aimed at elucidating pathogenic mechanisms and identifying druggable targets. The programme
-
About the Role We seek a Postdoctoral Research Associate to contribute to the delivery of the precision medicine translational program of research in autoimmune rheumatic diseases at Queen Mary
-
programme. In addition, this role will provide: Training in genomics and pathogen sequencing Opportunities to collaborate with academic and governmental partners Experience working within an interdisciplinary
-
AI with large-scale datasets, the post holder will drive biological discovery. The work involves developing sophisticated frameworks to bridge the gap between computational frameworks and clinical