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satisfactory performance. Successful candidates will be involved in a project that is related to generative design. Key Responsibilities: To independently undertake research in computer vision and deep learning
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: To independently undertake research in machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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fields. Strong background in machine learning and computer vision. Experience in 3D vision is preferable. Strong publication records in top-tier machine learning or computer vision conferences/journals
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the stability and robustness of node embedding in machine learning, proposing methods for identifying some worst risks and proposing corresponding countermeasures. Key Responsibilities: Developing metrics and
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machine learning Development of control methods for manipulation of soft objects Job Requirements: Master Degree in Electrical and Electronic Engineering Expertise in machine learning, robotics and control
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Technological University (NTU). The candidate is expected to work on the cryptography and/or machine learning. Key Responsibilities: Conduct research on cryptography and/or machine learning Prepare reports and
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of machine learning interpretability solutions in production. Key Responsibilities: Implement machine learning interpretability tools and pipeline to be included in the future machine learning interpretability
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/or machine learning interpretability. Key Responsibilities: Conduct research on cryptography and/or machine learning interpretability Prepare reports and presentations for the project Publish relevant
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on cryptography and/or machine learning. Job Description: Conduct research on cryptography and/or machine learning Help prepare reports and presentations for the project Publish relevant results to cryptography and
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undertake research in computer vision, NLP, and machine learning To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community