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data models for electronic health records of people with mental disorders, under the guidance of Dr Osimo and Prof Murray at Cambridge, and a line manager to be selected at Akrivia Health. The aim
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
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research, publications and other research outputs. The purpose of this role is to assist with the data collection and analysis for this project, including research in archives based in the United States
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Maintaining accurate and organised records of animal studies and ensure data is captured in lab databases Complying with all regulatory requirements including Home Office licences, local AWERB oversight, and
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Meier, Charo Sadaba). You will be responsible for completing research projects fitting computational models to social media behavioural data (e.g., see https://doi.org/10.1038/s41467-020-19607-x
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and experience of working collaboratively. You will join the SAMS consortium and the internationally renowned atomic astrophysics group at DAMTP, providing atomic data to the world-wide community
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security check. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. For more information about our research please see: https
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, data generation and analysis, and scientific communication. We welcome applicants with a background in any of the following areas: Cancer immunology or vaccine development; Single cell genomics
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work in the UK. Further information Apply online
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. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model