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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
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charismatic carnivorous plant system. It would suit a student with a background in plant science, cell biology, molecular biology or biochemistry. Excellent oral and written communication skills and the ability
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a student with a background in plant science, cell biology, molecular biology or biochemistry. Excellent oral and written communication skills and the ability to work in an interdisciplinary team
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sequencing technologies - including metagenomics and transcriptomics - to explore the dynamic interplay between human gene expression and microbial communities. The successful candidate will develop and apply
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and emerging applications, such as multi-domain autonomy and aerial mobility. With rising risks to PNT systems from interference, spoofing, and cyber-physical attacks, unified, security-aware integrity
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. To meet the demands for accuracy and robustness from emerging applications such as urban air mobility and defence, the navigation community is moving toward cognitive, multi-domain solutions that can
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inhibitors in preclinical GBM models. Eligibility Applicants should have a first or upper second-class honours degree (or equivalent) in a relevant discipline, such as cell biology, biomedical sciences
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future hydrogen fuel cell powered aircraft. Join our diverse and inclusive team to transform the future of aviation as part of the Centre for Propulsion and Thermal Power Engineering. Offering fully funded
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We are looking for a full-time Research Assistant in Dr Fengzhu Xiong's lab at the Gurdon Institute, University of Cambridge. The successful candidate will be involved in studies of collective cell