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to develop magnetic resonance imaging (MRI) methods to advance electrochemical flow technologies, which are emerging as promising more-sustainable solutions for the global challenges of energy storage
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ligase activation Characterize the polyubiquitin architectures assembled and identify their downstream effectors Develop novel E3 ligase activity-based imaging technologies This position offers a unique
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, Chemistry, Engineering, preferably in an area involving Raman spectroscopy (Applicants in the process of Ph.D. submission will be considered.) • Knowledge of Raman spectroscopy instrumentation. • Strong
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and budgets. Engaging with the wider context Enhancing your contribution to the organisation through an understanding of the bigger picture and showing commitment to organisational values. Developing
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Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g
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Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g
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fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
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fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian
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(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision