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inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In
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, Ultrasound and Vibration, Aircraft Structures, Damage Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics, Machine Learning Informal enquiries prior to making
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motivated PhD candidate to investigate the molecular mechanism of how selective autophagy targets cargo in the context of toxic aggregate or organelle buildup. Our lab has a strong track record in uncovering
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to investigate the molecular mechanism of how selective autophagy targets cargo in the context of toxic aggregate or organelle buildup. Our lab has a strong track record in uncovering the mechanistic details
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, protein biochemistry, electron and fluorescence microscopy and CRISPR/Cas9 genome editing to study the role of the early autophagy machinery in targeting and degrading protein aggregates and organelles
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to tackle the burden of pathological wounds by exploiting therapeutic targets and biomarkers associated with extracellular matrix remodelling in cutaneous wounds. Through its research and training activities
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that are not present [Liu24,Liu25]. In a safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and
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clinical outcome data, exposome research provides a holistic framework for identifying preventable risk factors and guiding targeted public health interventions. This scientific approach underpins both
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Green Deal aims to reduce emissions by 55% in 2030 compared to 1990. To this end, a target is set to have an installed capacity of offshore wind of least 60 GW in 2030. This results in larger wind farm
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Green Deal aims to reduce emissions by 55% in 2030 compared to 1990. To this end, a target is set to have an installed capacity of offshore wind of least 60 GW in 2030. The effects of climate change