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the Department of Computer Science and Engineering, at the University of Cambridge, UK. The Postdoc will work across several projects, interfacing with teams of students and research collaborators on developing
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
can apply for this position by submitting the following documents through the MPG postdoc program website (https://postdocprogram.mpg.de/node/21092 ): Motivation letter detailing your background, reason
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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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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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of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is also highly valuable. The successful candidate
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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