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Field
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discovery, and deep-learning algorithms • Neutron scattering and advanced characterisation techniques The successful candidate will work closely with other PhDs and postdocs involved in similar investigations
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astrophysics, and reproducible research software development. Candidate Profile We welcome all applicants with a background in: • Physics, Astrophysics, Data Science, Applied Mathematics or a related field
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-verification, and in-country assessments of the nature, extent and likelihood of threats to these heritage sites. MAEASaM is a partnership programme, with the University of Cambridge serving as the lead and
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, and implementing the arc model in a commercial software package (Ansys Fluent). The School of Engineering is an Athena Swan Silver award holder and is committed to encouraging, developing and supporting
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.Develop ML models to predict the occurrence or frequency of interactions between pollinators and plant species. 4.Co-design a user-friendly software interface with input from researchers, conservation
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services research and epidemiology, along with practical skills in managing large, complex datasets. Proficiency in statistical software, especially STATA, is essential. You must be able to handle multiple
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journals Disseminate results widely, including at appropriate national/international conferences, and by making results and software available to applied practitioners Knowledge, Skills and Experience
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, which also includes PI Dr Field, postdoctoral researcher Dr Milan Terlunen, and Research Software Engineer Dr Nicolas Seymour-Smith. The PhD project will focus on the relationship between obscenity and
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with advanced instrumentation and custom software to unlock new functionalities. In later phases of the project, the refined technique will be applied to characterise both commercial and custom-designed
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equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in