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systems for analysis, support, and diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure
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maintaining contacts with colleagues who can provide expertise and support in the analysis and interpretation of research findings. Key Responsibilities Develop computational pipelines for processing and
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. As a postdoc fellow in the AMBER programme you
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) Theoretical knowledge and practical experience in artificial intelligence-driven techniques for image processing Excellent proficiency of oral and written English in a scientific context Meriting criteria
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to explore life at the molecular level. We build physical models of key biological processes and develop advanced measurement techniques to test these models in living cells. This project focuses
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looking for a doctoral student who will carry out research in data processing and image reconstruction for spectral x-ray computed tomography, with particular focus on deep-learning-based image
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requirement. A very good command of the English language, both written and spoken, is a key requirement. Experience in Federated Learning, Computer Vision, Image Analysis, Mathematics, and Mathematical
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biology and expertise with image processing. Requirements: - A doctoral degree within plant molecular, cell or developmental biology or equivalent. - Experience working with plants in the lab. - Experience
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and microscopy imaging to join our interdisciplinary team. The project contributes to the AlphaCell program and ongoing efforts with the Human Protein Atlas and other research groups at SciLifeLab
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://www.sljus.lu.se/pablo-villanueva-perez Work duties MAX IV is the first operational diffraction-limited storage ring in the world, offering new opportunities to develop novel X-ray imaging techniques that were not