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Modifications (CEPLANT ) was established in 2010 as part of the Department of Physical Electronics and was funded by the European Structural Funds and has been recognized by the European Union as a Key Enabling
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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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physiology, root biology or plant–environment interactions. • Experimental approaches to studying internal plant environments or spatially structured biological processes. • Imaging, sensor-based measurements
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the development of sustainable composite structures for high-performance applications. Undertake doctoral-level training at the University of Bristol, a globally recognised institution at the forefront
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conditions. For example, the state-of-the-art Ba0.5 Sr0.5 Co0.8 Fe0.2 O3-δ (BSCF) exhibits the high oxygen permeability, but it suffers from high reactivity with CO2 and structural instability issues
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to identify, characterize, and understand structural instabilities in these materials, with measurements conducted as a function of hydrostatic pressure, uniaxial stress, and temperature. Density Functional
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types that reflect related biological mechanisms, such as proteomics, metabolomics, and transcriptomics. Latent variable models are widely used for identifying the underlying structure in such high
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microstructural descriptors that are physically meaningful and predictive. Probabilistic surrogate modelling and digital twin construction. The extracted microstructural descriptors will be used to learn a
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proficiency in English a structured, self-driven, independent approach to technical work and good collaboration skills coursework or other experiences in the following subjects are valued: optimization, linear
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molecular design strategies, bipolar host materials with high triplet energy levels (above 2.8 eV). Various pi-conjugated structures will be explored, including those based on bio-sourced materials