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the fundamental factors governing cation mobility in aluminosilicate materials through an integrated experimental-theoretical-computational approach. The research will probe the spatial extent and timescales of ion
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or fragments). Practical experience of complex tissue analysis using multistaining techniques and image analysis. Practical experience of analysis of spatial proteomics and/or transcriptomics data. Experience
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to establish mechanistic insight and therapeutic direction. The Research Associate will contribute to project leadership through experimental design, data analysis, and dissemination of findings through high
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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for spatial design, mission analysis and other related tools (GMAT/STK/360TM, CATIA...) is an asset. Specific Requirements Titulación Académica: Ingeniería Aeroespacial (Titulación Universitaria
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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on campus and beyond. At Notre Dame, your work matters, and so do you! Job Description Applicants must apply through Interfolio at https://apply.interfolio.com/182627 . Applications submitted through
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clustering analysis using Voronoï tessellations particle tracking and shadowgraphy measurements, will be used to quantify particle size, velocity, and spatial organisation. These experiments will be
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defined the cell types and mechanisms that instruct peripheral regulatory T cell development and tolerance to the gut microbiota (https://www.nature.com/articles/s41586-022-05309-5 ) and identified
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methods to biological and clinical research datasets. Primary responsibilities include analyzing bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics data; developing and maintaining reproducible