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, coordinate and monitor its implementation, and expand the project's collaborative networks in the areas of urban innovation, resilient cities, and climate-neutral cities. 2. Strengthen relationships and
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
state-of-the-art imaging techniques with software-supported analysis of flow dynamics and mathematical modeling for the precise characterization of hemodynamic mechanisms in atherosclerosis. In research
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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of Cell and Developmental Biology at the University of Michigan Medical School and faculty member of the Michigan Neuroscience Institute, Single Cell Spatial Analysis Program in the Biosciences Initiative
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the future. https://nusit.nus.edu.sg/ Job Purpose Build intelligent, scalable applications by leveraging AI tools throughout the development lifecycle—from requirements analysis to deployment. Design and
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sequencing data and to integrate multi-omics data to study cancer development and progression (work experience with the analysis of genomics data such as spatial and single cell, methylation, ATAC-seq etc. TCR
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covering the full spectrum of satellite instrument development: design, manufacturing, characterization, data processing, and scientific analysis Opportunities to present your work at national and
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to ensure proper operation of all components of the systems are functional (including door contacts, request to exit devices, readers, the actual lock, power supplies, encoders, network connections, and
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, pioneering technological advancements such as metasurfaces for ensuring uninterrupted communication in obstacle-riddled environments, and ML-based design of medium access, resource allocation and network
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
insights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling