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Field
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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%, currently 29.85 hours/week). The position is funded by the German Federal Ministry of Research, Technology and Space (BMFTR) until 30.09.2028. Within this project, and in a collaboration between the
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content is created. Whether it is text, images, or music, generative AI can often produce results that match or surpass results created by humans. However, when it comes to engineering design, and
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human perception and cognition. Experience in: experimental methods, computer rendering or VR/XR, programming. Affinity with multidisciplinary work, combining science, art, and technology. Enthusiasm
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and Computer Vision Excellent programmer in Java / C / Python or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research
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application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with focus on image processing and restoration
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18 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Other Engineering » Biomedical engineering Engineering » Computer engineering
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piston Ericsson engine and a hybrid thermochemical process for combined cooling and power generation. The concept is based on coupling a free piston with a linear alternator (a permanent magnet generator
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, and to evaluate the clinical performance of new technology in new clinical applications. The group counts with wide-ranging expertise in image processing, reconstruction, and analysis, as