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studies (e.g., EELS, EDS) to probe defect structures and dynamics Apply advanced image processing and analysis; develop AI/ML workflows for quantitative defect characterization Implement high-throughput and
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation
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internal state and environmental structure shape their functional operation. To address these questions, we use an observational and causal approach, combining monitoring and decoding of neural activity with
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in
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motility apparatus through single molecule fluorescence imaging approaches. Underpinning genetic and biochemical experiments will also be required. The project will build on our recent work in this area
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property analysis, sorting, and grading. Contribute to the TIMBERHAUS project by applying advanced image processing and AI methods for timber quality assessment. Integrate experimental data with
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Computational Color Research, Image Processing, Computer Vision. Knowledge of latest generative architectures Good programming skills using Python Other merits Experience superior to that required in similar
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experience in computational methods, which may include machine learning. This could involve medical image analyses and processing or biomarker quantification approaches. Experimental set up experience would be
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate