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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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Boston Children's Hospital Division of Newborn Medicine | Boston, Massachusetts | United States | 3 months ago
, human cell culture, advanced spatial biology, mouse behavior, and brain circuit mapping approaches. There are opportunities to leverage data from tractable, human-relevant large animal models of neonatal
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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