30 post-doc-in-seismic-groung-response-analyses Postdoctoral positions at University of London
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: 23.59 hours BST on Tuesday 26 August 2025 Interview Date: Wednesday 03 September 2025 Reference: PPS-0210-25 We are seeking a highly motivated Post-Doctoral Research Assistant aiding the development
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: 23.59 hours BST on Sunday 08 June 2025 Interview Date: Friday 27 June 2025 Reference: CBS-0112-25 We are looking for a skilled and motivated Post Doctoral Research Associate to join the Structure and
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is the 1st of July, 2025. The position is a full-time post, limited to three years. We also offer a generous reward package and benefits including: Competitive and attractive pension package Generous
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hours BST on Tuesday 27 May 2025 Interview Date: Friday 06 June 2025 Reference: CBS-0080-25 We are seeking to appoint a skilled and motivated researcher to join our team. This post-doctoral research post
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responsible for planning and delivering design research activities, conducting and analysing interviews, developing prototypes, facilitating workshops, and documenting participatory design processes. They will
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computational analyses of epigenomic/transcriptomic data and machine learning. Experience in single-cell omics data is desirable. The post holder will be responsible to develop pipelines for the analysis
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About the Role Applications are invited for a Barts Charity-funded Postdoctoral Research Associate post to join the laboratory of Doctor Mathieu-Benoit Voisin within the Centre for Microvascular
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, experience managing and analysing ancestrally diverse genomic datasets, and expertise in computational genetics, including variant annotation and genome-scale analyses. Proficiency in R or Python, excellent
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About the Role A 12 month post-doctoral research assistant position funded by the Barts and the London Charity (BTLC) is available in the laboratory of the laboratory of Professor Stuart McDonald
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling