-
should have experience analysing data in large developmental cohort studies, experience conducting meta-analysis, experience with using structural equation modelling and working with statistical software
-
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
-
Abu Dhabi to use world-leading electron microscopes. About You You should have a PhD in Materials Science, Physics, Chemistry, Nanotechnology, Electrical Engineering, or a closely related field, with a
-
novel models and tools to improve cancer early detection. They will contribute to Cancer Research UK and NIHR funded projects, including studies using large healthcare datasets, such as CPRD, focussed
-
understanding of cancer risk and developing novel models and tools to improve cancer early detection. The successful candidate will contribute to Cancer Research UK and NIHR funded projects, including studies
-
Neuroscience, Engineering, Mathematics, or a related field. Have experience with animal research, electrophysiological recording, and data analysis using Matlab or Python. With desirable skills include
-
animal handling and behavioral experiment procedures required for calcium imaging studies on cognitive tasks y to reveal mechanisms underlying flexible cognition. Comparable experiments in animal models
-
with cell lines and human primary cells, cell culture, transfections, immunostainings, western blotting, reporter assays, in vivo testing including models of osteoarthritis in mice. Professor Dell’Accio
-
of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
-
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