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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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PhD Scholarship Non-persistent rock discontinuities, rock bridges, and rock mass stability: numerical modelling and analysis. Water flow in rock discontinuities, discontinuity mismatching, and shear
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. The project will use quantitative mitochondrial-tracing approaches, including a recently established HiBiT-based platform, live-cell imaging, CRISPR-engineered cancer models and tumour–stromal co-culture
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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: Develop current-sensor concepts targeting a bandwidth above 300 MHz and an insertion inductance below 1 nH. Model the electromagnetic behaviour, parasitic effects, transfer characteristics and limitations
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone
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Position Description About the position We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work