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machine learning methods with the goal of enhancing the effectiveness of our LifeMap technology, with the aims to develop VR-induced stress tests, potentially offering clearer data and benefiting patients
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machine learning and artificial intelligence, and numerical modelling. You should have demonstrable experience in various research activities with good writing and presentation skills. Additional
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expected that you perform advanced data analysis by leveraging the emerging tools such as machine learning to establish the link of process-structure-property. Further information can be found in the job
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learning algorithms and system architectures Methods for exploiting modern system architectures for high-performance AI Methods for embedding machine learning in large-scale deployment of distributed cyber
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) and a good understanding of genetic and molecular biology concepts are also required. Knowledge in CRISPR-Cas9 technology, as well as familiarity with artificial intelligence and machine learning
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– AI and machine learning (led by Prof. Huiyu Zhou), High-performance and distributed systems (led by Prof. Ashiq Anjum), and Trusted Autonomous Systems (led by Prof. Shigang Yue). Your research should
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to demonstrate knowledge in the dynamic subject area of marketing analytics, including data visualization, data analytics techniques, and AI machine learning. For the Teaching and Professional Practice route, you