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to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging through health, retail, mobility, energy and communications. Using GI infections as a case study
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53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 01.09.2025 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2029
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of quantum sensors for acceleration sensing is a key priority due to its potential to revolutionise inertial navigation, environmental monitoring and geological surveying. Presently, the acceleration sensing
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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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generation of experts in ingestible medical technologies. These orally delivered, minimally invasive devices are designed to traverse the gastrointestinal (GI) tract, enabling diagnostics, therapy, sampling
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studentship is closely related to the current cohort of MOAP-PhD students and the wider PhD cohort in the group of meteorology and climate and the School of Geography, Earth, and Environmental Sciences
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@contacts.bham.ac.uk . Supervisors: Dr Shashwat Sharma (s.sharma.11@bham.ac.uk ) References: Feel free to look through my past publications to get a sense of the work we will do together: https://scholar.google.com
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on delivering improved accuracy and quantification of resilience in diverse challenging environments, from urban canyons to remote, infrastructure-limited regions. Cranfield University is a specialist
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Hours: Full time (with possibility of less than full time upon agreement with Programme Director and funder) Contract: Fixed-term for 3 years Location: Liverpool/Remote/Overseas (Global South) Fully
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physical and numerical modelling. Feel free to reach out to the project supervisors if you have any questions. Entry requirements: The ideal applicant will be enthusiastic and self-motivated with a first