23 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of London
Sort by
Refine Your Search
-
level in the relevant subject area for the research programme; with a productive track record and have experience covering the full range of duties required. About the Institution The Faculty of Medicine
-
degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
-
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
-
the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
-
the statistical analysis of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, risk prediction, AI and clinical
-
in tandem with clinical partners. About You You will possess a PhD or be nearing completion in mechanical, electrical, or biomedical engineering, or a related discipline. You will have hands
-
researchers in the preparation and analysis of data. The Research Associate will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science
-
wide range of subjects in the Humanities and Social Sciences, Medicine & Dentistry and Science & Engineering. Benefits We offer competitive salaries, access to a generous pension scheme, 30 days’ leave
-
regeneration. The project aims to dissect how metabolic dysregulation impairs the trajectory of human induced pluripotent stem cell-cardiomyocyte (hiPSC-CM) differentiation using molecular biology, metabolomics
-
About the Role We are looking for a motivated and hard-working person to develop a very exciting project in the contest of the Barts Metabolism Network (QMUL) and the growing metabolism hub of the Barts Cancer Institute. The project aims to explain why the risk of developing breast cancer is...