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of novel sensing methodologies for next generation bio-sensing. The post holder will work in close collaboration with scientists and engineers within industry to develop, test and validate sensor systems
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sensing methodologies for next generation bio-sensing/diagnostics. The post holder will work in close collaboration with scientists and engineers within industry to develop, test and validate sensor systems
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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
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conservation outputs. The successful candidate will develop AUV survey plans, including transect design, sensor configuration, and sampling parameters, to ensure high-quality data capture. They will manage and
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The Sensor Enabled Research & Control Hub (SEARCH) at the University of Strathclyde are seeking to recruit a Research Fellow to develop, manage and coordinate R&D activities focused on in-process
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transport calculations and programming. Expertise in quantum transport and using machine learning algorithms for first principle calculations will be distinct advantage. You should be able to work
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statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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and fabrication of microfluidic systems, with demonstratable skills in sensors, micro-fabrication, electronics and programming. We are looking for a self-motivated person, able to organise their own
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decoherence dynamics and other effects of quantum-classical correlations in complex fluid solvents. The methodology will be largely based on Lie group methods and structure-preserving algorithms in geometric