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: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including Information
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Research Fellow position for three years funded by The Crick Institute. The project focuses on developmental growth and patterning and its evolution. The successful candidate will develop theoretical and/or
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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) that supports the project titled Proposal and theoretical development of chip-scale chirped-pulse amplification systems. The RF will work on the project for the theoretical development of the chip-scale chirped
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on a project on Li-ion battery ageing analysis and experiment testing. Key Responsibilities: Perform experiment testing for Li-ion batteries Development of heath indicators based on the experiment
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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The 6G National Research Programme is at the forefront of pioneering research and development in the field of 6G technologies. As part of the Communications Hub for Empowering Distributed Cloud
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transplantation. We are looking for a highly motivated candidate with a PhD degree interested in using microbiological methods with the aim of developing novel strategies to improve bone marrow transplantation and
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passionate individual contributing to NTU education environments A highly dynamic person inter-disciplinarily trained in AI, VR, and edu tech An experienced developer designing AI and VR for Education tools
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 22 hours ago
services. Specifically, we use large health administrative data and national population health data to develop risk prediction models to inform early identification of mental health problems, mental health