34 assistant-professor-and-data-visualization Postdoctoral positions at University of Cambridge
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The Faculty of Modern and Medieval Languages and Linguistics are inviting applications for a Post-Doctoral Research Assistant (PDRA) post on the project 'Multilingual Dynamic Assessment for Language
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Fixed-term: The funds for this post are available for 2 years in the first instance. Applications are invited for post-doctoral research associates to join the group of Professor Angelos Michaelides
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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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accomplishments and future research interests. Contact information for three references. For queries relating to your application or the application process, please contact Professor Matthew Gaunt via email on
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metabolic complications associated with obesity. The research will be conducted in close collaboration with Professor Sir Stephen O'Rahilly's group and other investigators within the IMS. This role is ideal
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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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The purpose of this Postdoctoral Role in Image Analysis is to collate and curate data from MRI and CT studies conducted on patients and volunteers, as part of the TBI-REPORTER initiative
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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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in Plant Biology, Biochemistry, Systems Biology, Genetics, or related field. Where a PhD has yet to be awarded the appointment will initially be made at Research Assistant level (Grade 5) and amended
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imaging data - Developing new methods for inference of copy number alterations from single-cell DNA sequencing data - Analysing patterns of single-cell copy number variation to identify mechanistic