33 assistant-professor-computer-science-and-data-"Meta" Postdoctoral positions at University of Cambridge
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modelling the coupling of atmospheric and micro-physics moisture dynamics. The work will be carried out in collaboration with and under the supervision of Professor Edriss S. Titi. Duties include mathematical
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candidate will work with Professor Guilio Del Zanna on producing advanced atomic models. This post offers an excellent opportunity to contribute to a high-profile project focused on the development
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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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postdoctoral researchers in synthetic organic chemistry in the Department of Chemistry at the University of Cambridge. The successful candidate will join the dynamic and collaborative research group of Professor
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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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techniques. Analyse experimental data using statistical tools and computational methods. Collaboration & Mentorship: Collaborate with interdisciplinary teams of researchers and students. Mentor graduate and
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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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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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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets