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Field
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numerical simulations of complex dynamic systems, e.g. turbulence, hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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, echocardiography, and/or MRI/CT imaging analysis in pediatric and fetal populations. • Co-lead the development and validation of AI/ML algorithms for fetal cardiac ultrasound image analysis and CHD subtype
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-computer interaction. The ideal candidate will have a strong foundation in algorithms, HCI, and software engineering, and will contribute to the design, development, and evaluation of interactive and
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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multiple countries. The position offers a highly collaborative and interdisciplinary research environment. The successful candidate will be expected to: develop computational algorithms for time-dependent
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the research on Integrated Sensing and Communications (ISAC) with Reconfigurable Intelligent Metasurfaces (RIS). Key Responsibilities: Design the algorithm for Integrated Sensing and Communications
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of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep
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accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing
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, investigation and dissemination of large data sets. Works with research team to develop new algorithms to support studies. Participates in developing hypotheses to be tested and ways of testing it, and conducts
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quasiperiodic potentials, requiring modeling techniques capable of handling extremely large system sizes. In this project, we develop algorithms based on active-learning tensor-network tight-binding strategies