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the face of climate change. The research specialist will work closely with Professor Jessica Zamborain Mason and her team to conduct data-driven analyses, manage large and complex databases, support research
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, coordination of programming changes, and system diagnostics. Leads troubleshooting and root cause analysis of complex mechanical and controls issues that impact research continuity, building operations
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elucidation of membrane protein complexes and integrates fundamental cell biology and structural biology by cryo- electron microscopy. The lab has a strong track record in investigating scramblases and their
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the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver
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of optimising the presentation and dissemination of complex results/data. E9. Experience of communicating with PIs to understand the bioinformatics analysis requirements and explain the techniques used and
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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studentship funded by the Leverhulme Trust, starting in September 2026 under the supervision of Dr Varun Sreenivasan, School of Life Sciences at the University of Sussex. Complex movements form the basis
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analyses. The work will involve network analysis, computational modeling, and simulation of control strategies for healthcare‑associated infections. Candidate profile: Applicants should hold a PhD in network
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. Expert knowledge of data modeling, statistical analysis, machine learning, and optimization techniques. Expert in leading and executing complex, high-impact data analytics projects and initiatives
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of stopped and in-flight gamma rays. The complexity of the setup requires advanced data analysis and comparison with dedicated simulations. The candidate will play a central role in analysing and interpreting