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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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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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, organisational and problem-solving skills, as well as enthusiasm for working in a diverse inter-disciplinary team. Further information on the Toxicology Unit can be found at (https://www.mrc-tox.cam.ac.uk
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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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development and archiving of linguistic data. Support the administration of the Project, including reporting and coordination tasks. Assist in organising events and activities within the framework
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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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. 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