29 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" PhD positions at University of East Anglia
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will join the group of Dr Evelien Adriaenssens, expert in viromes and microbiome, with support from Prof Eleanor Mishra, respiratory consultant and associate clinical professor. The ideal candidate has
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approach that integrates machine learning algorithms, blockchain technology, and IoT devices with digital twin systems. The scientific objectives of the project are as follows: Objective 1: Investigate how
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can feed directly into precision surgery algorithms and clinical trials. Few PhD projects offer such a clear line of sight from variant to mechanism to clinical translation. Located on the thriving
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for the rapidly developing quantum technologies. Quantum-optical measurements become especially intriguing in systems such as atomic ensembles or molecular processes whose quantum nature remains unclear. These open
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Zero futures will impact on everyday lives, practices and social relations. In response, new approaches are developing more holistic, people-centred and place-based understandings. This work examines the
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modifications affect topoisomerase activity during C. elegans nervous system development. This multidisciplinary project provides advanced training in molecular genetics, genomics, and translational biotechnology
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Project Supervisor - Dr Stefano Landini The rapid evolution of electric vehicles (EVs), data centers, and high-performance energy storage is driving the need for battery systems that manage heat
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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liverwort M. polymorpha and to develop skills across plant pathology, land plant evolution, microbial virulence, and bioinformatics. Applications are welcomed from students across the biological sciences
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capabilities within dynamic urban settings, where delivery demands and sensing requirements fluctuate rapidly across time and space. By developing intelligent scheduling and decision-making frameworks