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Field
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to composites) to improve defect detection, support the automation of the active thermography inspection (integration of robotic arm with active thermography approach selected), and support demonstrations
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academics, clinicians, and patient representatives. The successful applicant will contribute to an embedded qualitative study within a multi-centre randomised controlled trial (RCT). This qualitative
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with lab automation, bioreactors, and/or microbial co-cultures A proven publication record with at least one first author publication in a peer-reviewed journal/conference Outstanding written and verbal
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database and statistical analysis of the data is clear, quality controlled and accessible to other members of the research team. This full-time position is offered for a fixed-term until 31/12/2026. The post
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seismic, controlled source electromagnetic (CSEM) and magnetotelluric (MT) dataset. We are particularly looking for someone with skills in the application of rock physics models to seismic and/or
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This post is associated with ongoing research in the development and control of power electronic converters. Good communication skills are essential since the successful candidate will work closely
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seismic, controlled source electromagnetic (CSEM) and magnetotelluric (MT) dataset. We are particularly looking for someone with skills in the application of rock physics models to seismic and/or
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, usable, trusted, and sustainable. We are looking for someone with experience in: software/machine learning engineering, automated data collection (crawling, scraping, parsing), and data management. Working
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of thermographic image processing tools and techniques (all applicable to composites) to improve defect detection, support the automation of the active thermography inspection (integration of robotic
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, fellows will be required to take up the fellowship within 12 months of the award being made. Applications should be made via: http://jobs.lshtm.ac.uk . Online applications will be accepted by the automated