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Field
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computational data analysis. The department hosts a vibrant neuroscience research community, with an active program in mesoscale chemoarchitectural mapping of the rat brain spanning experimental neuroanatomy
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-ray speckle-based imaging, a simple and flexible technique using just a piece of sandpaper as an optical element to access the phase-contrast and dark-field image modalities. Using this method, I
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supercritical fluids; • Analysis of the chemical composition of the extracts using various characterisation techniques; • Valorisation of algal biomass extracts for applications in the chemical and
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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wearables, interviews and ethical analysis to improve staff support and reduce coercion. Aggression in residential treatment settings remains a significant challenge for care professionals. An aggressive
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-resolution transmission imaging alongside complementary modalities such as light microscopy, cathodoluminescence, and focused ion beam processing. By combining the strengths of multiple imaging techniques
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and operates its own imaging core; shared campus high-performance computing resources support the cluster's pipeline-wide data integration and analysis. The work is supported by multiple active federal
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passive methods of mitigation and containment. The need for multi-modal measurement systems to characterise thermal runaway, allowing a deeper understanding of the properties of the thermal runaway and
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pollutants may impair taste perception and nutrient sensing. The project aims at clarifying whether exposure to pollutants compromises sensory functions, potentially affecting appetite regulation, caloric
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show