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doctoral candidates there, to reveal process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro
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how intrinsic plasticity contributes to memory encoding and alters cognitive processes. In this project, we will leverage the advanced voltage imaging in larval zebrafish to investigate how intrinsic
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data-driven approaches, multi-scale model development and software development depending on the interest of the successful applicant. Big picture: The Tarzia Research Group (https
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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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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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, 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
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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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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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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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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