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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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The doctoral researcher will be working under the supervision of Professor Thomas Mastrullo. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of business law
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communication analysis to promote consumer engagement in respiratory-related media campaigns in community pharmacies and their impact. This includes the development of an implementation toolkit and its
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response have led to targets for reducing overflow frequency, ecological harm, visual impacts, and protecting bathing water. This PhD project has been co-developed with four UK water companies and the
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of the infrastructure, design and execution of large‑scale measurement campaigns, and development of data‑driven models for room acoustics and spatial‑audio. The specific research direction will be finalised after
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-containing systems. Who We Are Looking For: PhD Student / Research Assistant (m/f/d) The primary focus of this PhD position is to develop and apply in situ EPR spectroscopic techniques using a newly acquired X
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
A four year PhD with integrated studies is available in the High Temperature Research Centre, School of Metallurgy and Materials under the supervision of Prof Nick Green and Prof Roger Reed, with a
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. The project will thus reveal whether bacterial factors are driving the recent increase in CDI rates. This information can be used to develop novel prevention and treatment strategies. This project is part of
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additive manufacturing of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by Prof. Noomane Ben Khalifa (Hereon/Leuphana University
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communications hinders traditional deep packet inspection for malware detection. This research aims to develop lightweight, behaviour-based anomaly detection systems. These systems will identify malicious activity