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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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skills required. A strong quantitative background in statistics and/or spatial analysis. Experience with large publicly available datasets To apply, please submit the following materials: CV Cover letter
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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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MERSCOPE, spatial metabolomics with MALDI-mass spectrometry imaging, and small animal PET imaging. The incumbent will perform data analysis and statistics using available software. As a senior member of the
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, including spatial transcriptomics In vivo imaging of neural circuit deficits in zebrafish Pharmaco-behavioral profiling to identify pharmacological candidates Key responsibilities Analysis of molecular
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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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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc / Modelling and Analysis of Integrated Power, Gas and Hydrogen
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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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assessment and evaluation of natural resource planning and management processes. Ability to select and conduct statistical analysis to describe spatial and temporal trends in water quality as a result of
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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