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Field
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between
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to recreate human intestinal inflammation, establishing a novel pharmacological platform for preclinical drug evaluation. Evaluate disease trajectory and predictive potential through comparative spatial
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monitoring and profiling of breast tissue and systemic responses; Use of mouse models to study early tumour initiation; Application of single cell and spatial transcriptomics, lineage tracing, and multiomics
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diversity and dynamics of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection
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, contributing to the development of innovative spatio-temporal analysis and engineering challenges associated with uncertainty. The role supports collaborative investigations, model development, and experimental
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, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and
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consists mainly of research within a large collaborative project focusing on biodiversity, interactions and dynamics in coastal ecosystems. The project seeks to investigate drivers of spatial and temporal
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) technologies (e.g. Geospatial Analysis, Geocomputation, Spatial Modelling, Robotics, Sensor Technologies, ML etc.) to carry-out rapid, wide-area mapping, 2.5D real-world modelling and highly automated feature