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and embedded platforms Funding To be eligible for this funding, applicants must be classified as a home student. We require that applicants are under no restrictions regarding how long they can stay in
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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developing for embedded devices (desirable) Experience in working in highly interdisciplinary environments Track record of delivering systems of machine learning for real-world applications Significant
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electrophysiological data Experience in sleep scoring Experience in classifier development Experience with signal processing on embedded / resource-constrained systems Application Procedure Informal enquiries
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sensors and embedded systems development. • Experience with 3D modelling /CAD. • Publications, competition results, or an active GitHub/portfolio. Research Environment The University of Birmingham is one
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and model inaccuracy. This role is dedicated to solving this problem, building an embedded plume-in-grid contrail model for use in an operational weather model - supporting technological solutions
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, optimized for coupling with molecular vibrational and electronic transitions. By embedding selected organic or hybrid molecules into these cavities, the research will probe the emergence of quantum light
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states of molecules or quantum materials embedded in the gaps, enabling all-optical or optoelectronic switching. Special emphasis will be placed on understanding the dynamics of non-linear optical effects
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are committed to embedding the principles of equality, diversity, and inclusion into all our activities. To find out more about King’s commitment to diversity and inclusion, visit www.kcl.ac.uk/diversity This is
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field studies, and innovative design strategies will be developed that incorporate corrosion-resistant materials, optimised configurations, and embedded Internet of Things (IoT) sensors to monitor