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Field
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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for fieldwork in South America. Training and Skills Development This PhD will provide comprehensive training in: Molecular techniques: DNA extraction, PCR, and next-generation sequencing library preparation
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Interviews: 19 November 2025, University of Salford Registration: January 2026 Project Description This PhD complements two ongoing projects funded by the Academic Department of Military Rehabilitation and the
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) in quantitative biology, statistics, or a related discipline, and have experience using statistical modelling and data analysis to address predictive or inferential questions in ecological
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bio-optical (fluorescence and backscatter) data from a 2025 research expedition to the Bellingshausen Sea, West Antarctica, coupled with data from laboratory analyses of algal pigments, particulate and
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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experience (PWLE) to co-develop an accessible "second skin" for the interface, ensuring usability and inclusivity. Assist in data analysis, including harmonisation of large-scale datasets and exploration
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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sensors to deliver resilient, high-accuracy positioning. The project sits at the intersection of navigation, AI-enhanced signal and data analysis, and wireless communication systems, with applications in