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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About
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Black Thrive Global; by assisting with literature reviews on racialized inequality in care; by conducting qualitative research (incl. interviews, participatory creative workshops, data analysis, writing
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instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
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) in PhD/postdoc/job; has a good publishing track record, and has the ability to work in a team and with collaborators. The experience of system and component level testing in optical systems is an
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schedule of questions for research interviews. Conducting a series of semi-structured interviews at UoN. Transcription and analysis of qualitative data. Attending research team meetings. Contributing