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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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techniques and electron diffraction methods \[MR1\] is essential for the role, and candidates should make their relevant experience for materials discovery clear in their application. The post is available
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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 ability to use diverse methods in the pursuit of applied knowledge is preferred and a PhD, completed or near to completion, in a relevant discipline required. You will have experience of working
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environment, and benefit from diverse project team skill and expertise. The successful candidate should have a PhD in cartilage, stem cell or protease biology (or a related discipline). Expertise in mammalian
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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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biomedical innovation. You should have a PhD (or equivalent) in Pharmaceutical Sciences, Materials Science, Biomedical Engineering, Chemical Engineering, or a closely related discipline. If you are still
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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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animal health research. Essential Criteria: A PhD in microbiology, veterinary microbiology, or a closely related field. Proven experience in microbiological laboratory techniques, including bacterial
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new stable co-electrocatalysts using high-throughput synthesis and screening and evaluate them for activity and selectivity towards methane or syngas. You will have a PhD in chemistry or chemical