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: Programming skills in MATLAB, python Spatial Multi-omic Image analysis skills. Special Instructions to Applicants: For full consideration, applications must be submitted online. Click on Apply Now at the top of
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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research career with scientific, territorial, and policy impact. In addition, the researcher will participate in scientific activities related to ongoing group projects, including data analysis, preparation
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the development of bespoke solutions for cancer imaging based on spatial analysis and kinetic modelling techniques. This strand would involve adapting in-house models for Positron Emission Tomography data to other
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spatial transcriptomics to increase our understanding of the role of b-cells in Type 1 diabetes. Perform data analysis, prepare data for presentations (oral and written), write manuscripts and other
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of molecular mechanisms of disease development. Your tasks We are looking for a highly motivated candidate with genuine interest in biomedicine and a strong proficiency in data analysis. In this project, we
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
properties from human samples; and spatial transcriptomics/proteomics and morphological analysis of human lung tissue. Minimum Education and Experience Requirements PhD in Medicine or Respiratory Medicine and
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analysis? Are you inspired by applications to engineering, physics, or industrial problems? Do you thrive in a multi-disciplinary environment? Information Many of the most challenging problems in science and
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power