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of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in complex neurological and cancer
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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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networks are meeting industry standards and performance goals. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with
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sein de ces réservoirs complexes. Étapes de la thèse : Bio-ingénierie : Optimisation du système organ-on-a-chip et suivi de la cinétique virale (RT-qPCR, TCID50, RNAscope) et de l'homéostasie
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start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. Many technologies essential to a Net Zero future, including sustainable chemical processing
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characterisation and AI‑assisted modelling. Working within the Composites Research Group, you will develop a digital twin of the PFA cure process, combining mechanistic modelling with neural‑network‑based prediction
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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primary supervision of Dr Thomas Ouldridge. The student will develop predictive models of nucleic acid strand displacement rates to allow the rational design of complex networks of ever-increasing
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stakeholders Collaborates with network, storage, applications, telecommunications, and associated units to provide a stable, scalable, and fault-tolerant technology infrastructure Researches and develops
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the field of microbial community interaction EXC 2124 studies functional interactions in complex microbial communities, the microbiomes, with emphasis on bacterial pathogens and antibiotic resistance. It is a