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role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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player. High Integrity & Confidentiality. Adaptability & Resilience. Customer-Centric Mindset. Financial Awareness. Collaborative & Team-Oriented. Key Performance Indicators (Indicative): Timely execution
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, faster and more energy efficient data processing and storage. However, the heat produced by modern data centres has already become a serious limitation to further increase their performance. At present
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motivated researcher to contribute to cutting edge work at the intersection of high voltage engineering, data science, and offshore energy systems. The successful candidate will be responsible for conducting
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enabled High-Performance Computing environments is an asset Open minded critical thinker, willing to actively contribute to the further development of multi-cultural and multi-disciplinary research team
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for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish
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high accuracy in the early stages of next generation manufacturing process, and across many different usecases. As the process matures and enters high volume manufacturing, these models can be
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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spectroscopy with this equipment. Photothermal therapeutic nanoagents aim at converting optical energy into heat to induce hyperthermia and a stress response in targeted biological tissues. From an external
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Retrofitting UK Schools for Health, Performance, and Climate Resilience This exciting opportunity is based within the Buildings, Energy and Environment (BEE) Research Group in the Faculty