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Field
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computational biology and mathematical spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data
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for identification of discriminative spatial interactions of therapeutic response, and develop skills in computational biology and mathematical spatial analysis via independent study and training courses. It is
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will also develop skills in mathematical modelling and spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics
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, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You will also develop skills in mathematical modelling and spatial analysis
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teaching academic courses related to urban heritage, spatial justice, or affiliated domains. Required Qualifications PhD in Architecture, Urban Studies, Geography, Anthropology, History, or a related
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-embedding of tissues across all organ systems. • Designing and conducting spatial biology studies, including immunofluorescence multiplexing, digital image analysis, and pathway generation
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skills and experience: Essential criteria PhD awarded in developmental neuroscience* Human fetal tissue experience Confocal microscopy experience RNAseq/spatial transcriptomics experience Image analysis
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for those who can also program in Python and know standard network analysis techniques and metrics such as community detection and centralities. Prefernce for those with experience in geo-spatial analysis
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parallel channels—manual signs, spatial grammar, facial expressions—operating simultaneously in 3D space, presenting unique computational challenges for cross-modal alignment. The project will pioneer new
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at the field, drone, and satellite scale. Big data analysis including processing and analyzing EMIT hyperspectral datacubes over large spatial domains such as the Colorado Plateau and even global. Presenting