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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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(TU/e) and the Van Gogh Museum. TU/e provides leading expertise in visual analytics, scientific visualization, Explainable AI and the analysis of complex imaging datasets. It has generated several award
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biology, single-cell or spatial transcriptomics, bioinformatics, or multi-omic data integration. Experience with endogenous tissue, image analysis, or comparative developmental datasets is an advantage, but
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carries out technological research in the areas of optical component technology, optical instrumentation (spectro-radiometric imaging instruments in the visible spectrum and infrared range, interferometry
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(such as satellite video or hyper-spectral imagers), new processing methods (such as inverse SAR, microdoppler, multi-data fusion or machine learning-based pattern recognition) and new opportunities
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of the eye is widely used for research in ophthalmology and beyond. The possibilities for image analysis are increasing rapidly as AI progresses. However, much of these developments have not reached the actual
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, the Automation and Robotics Section is responsible for: the conception of novel uses and novel designs in space missions; definition, design and engineering; breadboarding and demonstration; analysis and
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, ethnography, participant observation, text analysis); Demonstrated excellence in independent academic research, commensurate with the level of a research masters, as evidenced by an (R)MA thesis and/or academic
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on integrating high-frequency clinical data, advanced signal analysis, and data-driven modeling into predictive models and personalized treatment strategies. In doing so, you strengthen the link
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, molecular biology techniques and/or plant tissue culture. You have experience in image analysis. You are interested in developing your teaching skills. What we offer you We will give you a temporary