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Field
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interdisciplinary lab focuses on investigating genetic and epigenetic changes in traumatic brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic
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therapeutics. Our research involves experiments with RNA Biology, RNA modifications/editing, mRNA-based therapeutics, primary human cancer cells, cancer and stem cell transplantation models, mouse genetics
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of urban transport systems. Craig Douglas: His work explores landscape as a dynamic material process in a constant state of flux through analytical and conceptual approaches integrating modelling, simulation
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transcription start sites from single cell and spatial long read RNA-Seq. The project aims to study the transcriptome of neurodegenerative diseases using mouse models and human brain organoids. The position will
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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research program seeks to increase our understanding of the immunological and molecular mechanisms involved in autoimmune dysregulation in Type 1 diabetes (T1D). Through the use of novel murine models
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approaches will include species distribution models and integration of spatially explicit environmental variables including climate, hurricane disturbance, and land-use, among other global and Caribbean region
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computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software