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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in
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Transfer. Support commercialisation of research outputs through patents, licensing, or spin-offs. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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researchers in the project and possibly with PhD students. Job Requirements: Bachelor’s or master’s degree in Computer Science, Computer & Electronics Engineering or other related fields Strong background and
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Information Engineering and Media to develop Machine Learning and AI algorithms for real-world and media-related applications. The Research Associate/Research Fellow is also expected to support teaching
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machine learning conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with strong initiatives Good
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, robotics, and machine learning. Successful candidates will receive a four-year grant towards obtaining a PhD in mathematics. Some candidates may need to provide GRE scores and/or proof of proficiency in
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, or a related field. - Research background in Statistics or Machine Learning. - Proven ability to conduct independent research. - Entry level candidates are welcome to apply Technical Competencies
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Associate/Research Fellow with expertise in Artificial Intelligence (AI)/Machine Learning (ML), pedagogical research in Institutes of Higher Learning (IHLs), and web/mobile application development (both
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-driven models to optimize solvent systems. Mentoring the training and learning of PhD and undergraduate students on sustainable biomass conversion topics Assist in report/document/further grant writing