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Norrköping. Research area We are seeking a highly motivated and talented individual to join our team in developing novel printed organic devices and circuits for next-generation neuromorphic processing
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the newly (2024) started Catalysis and Self-Assembly Group at Linköping University, we develop fundamental concepts and new processes to make heterogeneous catalysis more active and selective. We are now
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and interdisciplinary perspective. Coordinator of TrustLLM a large EU project developing trustworthy and factual language models. Host of the largest basic research program in Sweden Wallenberg AI
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machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for
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part of the WASP Graduate School including following its curriculum. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary
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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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-scale and reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing methods to make AI systems