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analyzing patient-derived samples. Methods used include analysis of genetic data, brain imaging data, health-registry data, and protein biochemistry, using statistical programs such as R, SPSS, PLINK
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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statistical analysis. Experience in remote sensing, UAV-based sensing, and plant phenotyping. Experience working with large-scale image datasets and artificial intelligence methods. Personal Qualities We
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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-of-the-art biophysical methods (microscopy, spectroscopy, live cell imaging, nanotechnology and neutron and X-ray scattering) to address cutting-edge questions in biology and meet medical challenges. Our joint
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expression and purification and/or optogenetics, particularly as applied to the control of cell wall synthesis or remodelling enzymes. Experience with confocal microscopy and quantitative image analysis in