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the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities’ evidence-based decision-making to improve the resilience and
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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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This project will develop and apply spin-polarised scanning probe microscopy to image, understand, and control magnetic order at the atomic scale in unconventional magnetic materials. Using
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ultrasound. This project will develop the materials, methods, and designs necessary to 3D-print the next generation of medical micro-robots targeting drug delivery, exploiting combinations of functions
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backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline
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in developing new theories of understanding by exploring research cutting across the following areas: Investigating material evolution and degradation mechanisms under cryogenic cyclical conditions
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(human geography, sociology, environmental social science, development studies, etc), sustainability science, or related fields demonstrate expertise in qualitative research methods demonstrate ability
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and more efficient care. The student will have access to a unique training programme in AI in healthcare and health data science as well as a wide range opportunities for developing skills in a rapidly
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experiment with new solutions and co-develop pathways of how academic systems can better support just sustainability transitions. Job requirements As a PhD researcher, you will develop and carry out your own