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Commission under the Horizon Europe framework program. NUCLEAR brings together European leaders in the fields of metabolomics, functional genomics, chromatin regulation, stem cell biology, and cancer with
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
Monash, the three-year interdisciplinary project brings together academics in media, creative industries, cultural studies, sociology, and human-centered computing. The successful applicant will join the
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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, sports, food safety, and environmental monitoring. By integrating electrochemical techniques and imaging technologies, the unit delivers cutting-edge solutions with real-world impact. Led by Prof. María
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, and energy solutions. By integrating electrochemistry with advanced materials and engineering, the unit delivers pioneering solutions with real-world impact. Led by Prof. María Cuartero (ERC Fellow) and
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safety, innovation, and making a tangible impact, we encourage your application. Please note that the successful applicant will also need to satisfy the general requirements of entry into a PhD program at
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where is the limit of government power in a data-driven society? You will have plenty of space to choose your own research angle and work in a multidisciplinary team with a focus on social impact. At
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
access to domain expertise, real-world data, and a pathway for industrial impact. A 3-month placement with the sponsor will provide practical experience in deploying digital twin technologies in aerospace
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simulation in hydrogen production systems. They are expected to contribute to model development, analyze flow behavior, and evaluate the impact of operating conditions on hydrogen production. Strong