16 machine-learning positions at Singapore University of Technology & Design in Singapore
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We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition
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oral and written English. Experience: Expertise in research in algorithm design and distributed network optimization using machine learning, stochastic modelling, optimization, management science, or
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Streaming Machine Learning for Edges with Prof. Zehui Xiong (https://sites.google.com/view/zehuixiong ), who is a Clarivate Highly Cited Researcher. The team is looking for a highly motivated post-doc
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to test the tools for usability and its efficacy for learning. The Research Assistant will have the opportunity to participate in writing research publications about their work. The work environment is
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. Practical experience in machine learning and AI. Good background in blockchain and decentralized/distributed systems. Strong analytical skill. Fluent programming skill in C/C++ and Python/Java. Excellent
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machine learning and AI. Good background in blockchain and decentralized/distributed systems. Strong analytical skill. Publication records in *top* cybersecurity conferences or journals. Fluent programming
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, software engineering, and programming ability Track record of research experience and publications in the area of artificial intelligence, machine learning, information extraction, and natural
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record of research experience and publications in the area of artificial intelligence, machine learning, information extraction, and natural language processing Proven experience in the implementation and
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and/or applied machine learning. Track record of strong R&D capability, with publications at leading cybersecurity conferences. Working knowledge of the C/C++ or Python programming language. Working
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programming. Working knowledge of computer networks. Working knowledge of applied cryptography and/or applied machine learning is advantageous. Working knowledge in software testing is advantageous. Familiarity