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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory and application of temporal reasoning and ultrasound video analysis from
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a relevant field and have strong quantitative and analytical skills, including experience in food systems modelling or closely related areas. Proficiency in data analysis and coding (e.g. Python, R
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are flexible, but September – October 2026 is preferred. The successful candidates will be members of the Centre for Topological Data Analysis with responsibility for carrying out research in applied
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bacteriological studies using a range of approaches including protein purification, in vitro and cellular protein characterization, proteomics, and high throughput genetic analysis. Structural studies will be
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on the computational analysis and interpretation of multi-omics and clinical datasets to support research into multiple myeloma and related conditions. The postholder will apply and further develop bioinformatic and
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video-based CHD biomarkers. You will work closely with clinical domain experts to define and evaluate AI models. You should hold a relevant PhD/DPhil (or near completion) in medical video analysis
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), computing sensitivity kernels and applying the BG-SOLA method to infer the properties of the MTZ. They will adapt existing and develop new seismic analysis and inverse methodologies within a finite-frequency
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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electrophysiology in cognitive or motor behavioural paradigms and subsequent data analysis Experience in memory and/or brain stimulation research is desirable. This full-time, fixed-term post is available immediately
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-molecule analysis of full-length proteoforms. This project combines chemical biology, biophysics, and biotechnology to engineer protein nanopore systems and biochemical workflows capable of directly