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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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illumination. In this project, we will go one step further and develop disentangled latent representations, not just for individual objects, but for full three-dimensional scenes with multiple objects that might
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
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. This will include SENSIF, a research project funded by the Joint Programming Initative on Antimicrobial Resistance (JPI-AMR ). The major responsibility as a postdoc is to perform research within the scope
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project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium. The aim of RAM3 project is to enable the broad application of recycled
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. We seek to holistically address the multiple pressures that ships pose on the marine environment and bridge the gap towards environmental management and spatial planning. Read more here https
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: - Object-oriented programming and intrument control - Interest in quantum technologies For questions, please contact: Professor Witlef Wieczorek QT lab, witlef.wieczorek@chalmers.se Superconducting Cavity