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Field
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intensification, dynamic operation, and resource recovery. The project combines modelling, pilot-scale experimentation, and techno-economic assessment to establish MECs as viable unit operations within next
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diagnosis and management, such as velocity, wall shear stress, and turbulence. However, its clinical application is currently severely limited by high noise (low signal-to-noise ratio) and low spatial and
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. Application areas include metals and layered structures. You will join a dynamic and rapidly growing research centre at Sussex, with access to advanced ultrasonic instrumentation, high-performance computing
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. The research aligns with the objectives of the EU funded project DRAGONS (Direct Recycling with AI for Gigafactory Operations and Next-generation Sustainability) programme, which seeks to develop scalable and
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that burnout rates among psychiatrists are high. Psychiatry has a much higher rate of referrals to professional support services for performance concerns compared with other medical specialties. When support is
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generative AI framework that utilizes machine learning predictions and quantum chemistry simulations to design stable, synthesizable, high-performance molecules. The framework will integrate multi-objective
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capable of delivering step-change advances in electromagnetic shielding performance. The project will focus on the following materials classes and experience in the synthesis and characterisation
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includes: Developing high-quality, nutritious, and sustainable foods that reduce fat and sugar use without compromising the flavour and texture profiles demanded by consumers. The rapid formulation
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
of these to explore how different configurations of human-agent teams affect human situation awareness, decision making, and task performance. We are looking for a highly talented and dedicated PhD student with a 1st
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Parametric integrators approximate solutions of (high-dimensional) partial differential equations by restricting the numerical approximation to a closed form that nonlinearly depends on, and is