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to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
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- HydroGraph ) Start date: 6th October 2025 Project Description – The aim is to develop a fundamental understanding of the reinforcement mechanisms enabled by FGA-1, including its impact on application
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Job Description Would you like to contribute to the development of advanced tools for predicting the allergenic potential of novel foods and proteins, helping enable the production of new and safe
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Your job As PhD candidate, you will be part of the project SHIELT – Shelf-life for plant-based meat alternatives. This project aims to develop predictive microbiology and risk assessment tools
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a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international environment. For more information about the
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labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics? How do neurons, glial cells, and immune cells communicate, and how can
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. Fixed term, full time position available for 2 years with a possible of extension. Train with an amazing group of molecular biologists focussed on addressing critical gaps in our understandings
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in health and wellbeing. This practice-based research project will align with the University’s civic mission and its research priority on Arts and Health and will be embedded in the development of a
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trapping and analysis using state-of-the-art nanopore experiments. About the Project Our group has pioneered the development of the Nanopore Electro-Osmotic Trap (NEOtrap), a groundbreaking technique that
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the foundation for the development of a 'space-based early warning system' of a swarm of micro satellites each to individually tag asteroids that could hit the Earth. The post will provide an excellent opportunity