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related field. Experience with THz spectroscopy, ultrafast laser systems, nonlinear optics, or optical imaging is highly desirable. Experience with scientific programming, data analysis, image
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variables; processing and statistically analysing experimental data; contributing to the development and application of appropriate methods for assessing forage crops and plant mixtures; working with
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advanced image segmentation methods to join our imaging research group and project “Natural Heritage 3D”. This collaborative project between Visual Computing @ DTU Compute, DTU Physics, Copenhagen
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development of image-based diagnostics and precision oncology strategies; publish findings in high-impact journals; and present at national/international meetings. Basic Qualifications Ph.D. in Molecular
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development of image-based diagnostics and precision oncology strategies; publish findings in high-impact journals; and present at national/international meetings. Basic Qualifications Ph.D. in Molecular
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neural networks for image, video, audio, social network, and/or text classification. The Faculty of Information Technology has a mission to advance social good through its research. Key to this mission
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neural networks for image, video, audio, social network, and/or text classification. The Faculty of Information Technology has a mission to advance social good through its research. Key to this mission
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analysis from laboratory and synchrotron x-ray diffraction, x-ray absorption spectroscopy for the quantification of chemical short range order, and automated microstructural image analysis. The simulation
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work enables precision calibration of imaging devices, so that sources of bias and uncertainty in image acquisition and reconstruction can be better identified, described, and sometimes corrected. The
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mathematics, or a closely related field. Relevant experience may include one or more of the following: machine learning, deep learning, or generative modelling computer vision or biological image analysis