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Field
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causality in explainable artificial intelligence The full description of the projects is available here . You can search by keyword, project title, Director of Studies. We welcome also innovative proposals
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the projects is available here . You can search by keyword, project title, Director of Studies. We welcome also innovative proposals outside the listed topics but aligned with the research interests
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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navigation integrity, multi-sensor systems, and industry collaboration. The project will deliver a novel localisation framework that advances the state of the art in positioning resilience for 6G systems
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direction-dependent responses to external stimuli such as external fields, mechanical stress, incident light etc. and this intrinsic directionality makes LCs the working material of choice for a variety of
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valuable fundamental knowledge with potential for immediate practical application in agriculture in disease risk management. The student will be embedded in the Saunders Lab at the John Innes Centre, which
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as scientific communication, project management, collaborative working, mentoring and leadership. All these skills are widely transferrable and highly sought after in a range of industrial, as
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mental health omics data more harmonized, accessible, understandable, and useful to researchers, clinicians, industry, and people with lived experience. You will work closely with a multidisciplinary team
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researchers to contribute to transforming infection management in medical implants. Focused on addressing the challenges posed by implant-associated infections (IAIs), SHIELD aims to deepen our understanding
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components with applications in the transport, catalysis and bioengineering industries. The research will focus on wet chemical processes and the study of chemical reactions on the component's surface. We will