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on developing innovative algorithms and models to address sophisticated problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
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, signal and information processing, and spectral analysis. Contribute to algorithm development and software improvements through fundamental and applied research, prototyping, validation, integration, etc
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developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply. Preference will be given to candidates who self-identify as Indigenous. Recognizing
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include but are not limited to: programming, algorithms, software development, communications and protocols, distributed systems, databases, mobile applications, operating systems, cloud computing, web
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Responsibilities: Identify the weakness of existing watermarking and adversarial protection methods Develop new deep learning algorithms or improve existing algorithms to address the weaknesses. Prepare codes and
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leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
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the gap between cutting-edge ML research and practical implementation Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc We are looking for a Senior Research Engineer to design, develop, implement, and oversee techniques and
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Development of a new