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Field
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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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of OSPAR-listed elasmobranchs (sharks and rays). The purpose of this role is to deliver the project’s spatial and statistical modelling components and integrate advanced marine sensing data into practical
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for conducting a series of neurophysiology experiments in rats to test the role of brainstem circuits in spatial navigation and head movements. The researcher will be required to conduct these experiments
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working with large datasets, including spatial information, hydrologic data and survey records. Skills and Experience To be considered for this position, you will have: completed a PhD or equivalent
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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MINFLUX: data acquisition and new data/analysis tools Spatial Chemical Composition using label-free-IR imaging Converting cryo-electron tomograms into images for WCMs and Minecraft Studies on organelles in
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applications for the prestigious Newton International Fellowship (https://royalsociety.org/grants/newton-international/ ) in the field of Geotechnical Engineering. Candidates with expertise and a strong research
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Genetics in the laboratory of Dr. Steve Parker in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics at the University of Michigan (http://theparkerlab.org ). We
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A crystal in space represents a distinct state of matter, with spatial periodicity in its lattice structure underpinning its band structure and optical properties. This project concerns time