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image cross-correlation, particle image velocimetry, feature/object tracking, orthorectification, image segmentation and/or image analysis techniques that may be novel to glaciology (including AI methods
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countries. As a room-temperature electrocatalytic reaction that can be powered using renewable electricity, Li/M-NRR is envisaged as a sustainable, scalable method to decentralise NH3 synthesis, improving
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
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mainly to `Work Package 3 (WP3)', which focuses on: - Investigating partial discharge (PD) activity before and after arcing using a simplified arcing device. - Proposing methods for online monitoring
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offences. The project will take a multi-method approach using methods in experimental psychology and psychophysiology. You will play a key role in designing experimental paradigms for the collection
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programming skills, and experience with modern machine learning approaches. You will analyse pangenome structure and dynamics, develop new computational methods for comparative genomics, and investigate
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consumption of less healthy foods. For related previous research using similar methods, see: https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(25)00143-4/fulltext https://pubmed.ncbi.nlm.nih.gov
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We are seeking a talented and motivated Postdoctoral Research Associate (PDRA) to join the Energy and Power Research Group for a 12-month appointment to develop, implement and test a numerical model
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research methods, or equivalent experience. This is a fixed term post available at 0.2% FTE (1 day per week) for 6 months. Commitment to Diversity The University of Liverpool is committed to enhancing