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Kevin Wilson, School of Mathematics, Statistics & Physics Dr Holly Fisher, Population Health Sciences Institute Eligibility Criteria You must have, or expect to achieve, at least a 2:1 Honours degree
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of functional materials to find an optimal structure on a small scale from the micrometer to the nanometer. The materials and systems examined play an essential role in sustainable technologies such as water and
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Honours degree (or equivalent) in an appropriate discipline such as Computer Science or Mathematics. Applicants are expected to have excellent mathematical skills as well as an interest in discrete
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interfacing of the sensors. The PhD candidate will work at the Integrated Devices and Systems (IDS) group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University
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Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls School of Computer Science PhD Research Project Competition Funded UK Students Dr Ning Ma, Prof Jon Barker Application Deadline: 21 August 2025 Details Project type: Academic-Led project Supervisors: Dr Ning Ma and...
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Your position Your focus will be archaeozoological and isotope analysis of Neolithic lakeshore settlements in Switzerland. This PhD position forms part of an SNSF Weave/Lead Agency Project entitled 'Deciphering Lakeside Settlements' (grant number 10002949). The successful candidate will analyse...
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, Flemisch 2020. DuMuˣ 3 - an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling. Computers & Mathematics with Applications. https://doi.org/10.1016
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be optimized and quantified using tomographic methods, in particular positron emission tomography, with spatial and temporal resolution. Different types of substrates and contamination are being
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research which combined efficient optimization and sequential reliability assessment. The project is funded through an EPSRC call to accelerate research outcomes to achieve a prosperous net-zero and is
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will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with specific focus on cost-effectiveness