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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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sluggish diffusion kinetics of HEAs make them excellent candidates for resisting oxidation and corrosion in high-temperature steam. Guided by thermodynamic modelling and machine learning, we will identify
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composites. Position 1 – Ply and blank bending during hot press forming Wrinkling is one of the primary process-induced defects in press-formed thermoplastic composite parts. Predicting wrinkling requires
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mechanisms, namely the remodelling of membrane lipids. Lipid remodelling is a process whereby bacteria selectively modify their membrane lipid composition in response to a particular environmental stimulus
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signatures produced by human falls and other everyday activities. While existing research often assumes a single, uniform floor condition, real buildings vary widely, from timber and composite systems
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PCM composites the RecyWax+ project combines multi-physics modelling approaches and physical experimentation of the thermal properties of the PCM composite. Throughout, theory is validated by synthesis
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-based wax composites that can be used in heat storage systems. Information Solving some of our major societal challenges related to climate, energy and sustainability will require a significant reduction
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systems integration, and business process modeling/implementation. Additional Information Benefits Monthly Maintenance Allowance: €1309.64 Eligibility criteria Admission Requirements Candidates pursuing a
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regulator of atmospheric CO₂. Emerging studies show that MNPs can impair nutrient uptake, photosynthesis, and growth in algae, while also reshaping community composition by favouring opportunistic species