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Field
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, equipment, and travel related to the project. Overview Deep geothermal energy has the potential to provide a long-term, sustainable source of low-carbon heat. However, the long-term performance can depend on
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and the various components of the tumour microenvironment. The research will primarily be conducted using patient-derived glioblastoma models and will combine approaches from cell and molecular biology
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on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell
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expected to carry out advanced computational analyses. Our underlying model system is the in vitro differentiation of adipose tissue stem cells into adipocytes. The project is in collaboration with
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predictive models of formation alteration. The project is funded by Eni S.p.A through the UK Energy Futures (ukenergyfutures.org ). research partnership, bringing together geoscientists, engineers, and social
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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microphysiological systems (MPS), are rapidly emerging as transformative and strategic technologies with the potential to redefine the future of health and life sciences. By integrating stem cell biology, patient
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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on the specific questions addressed, approaches may include mammalian cell culture, molecular and cell biology, genetic perturbation, imaging, epigenetic and chromatin profiling, and in vivo models of early
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A