35 web-developer-university-of-liverpool Postdoctoral research jobs at University of London
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sensing, signalling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is
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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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, Dr Anthony Phillips (School of Physical and Chemical Sciences), Dr Helen Walker (ISIS Neutron and Muon Source) and Dr Keith Butler (University College London) are assembling a team to study the
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About the Role The ATLAS L1Calo/Global upgrade project is primarily a firmware development based on a common multipurpose hardware module. It requires a lot of software development in a wide range
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training. About Queen Mary At Queen Mary University of London, we believe that a diversity of
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interaction of Mycobacterium tuberculosis with macrophages to explore targets for anti-virulence approaches in tuberculosis drug development. The work will involve establishing and running immunology and
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About the Role This new post will be at the forefront of interdisciplinary medical research contributing to the design-led development and evaluation of patient-centred risk-communication tools
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About the Role We are seeking a postdoctoral research assistant to join the group of Dr Mirjana Efremova in the Centre for Cancer Evolution, to work on a CRUK funded project to investigate the role
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the training dynamics. This project seeks to establish a mathematical framework for closing this loop by quantitatively measuring and analysing the evolution of neural networks during training. We will explore