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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry
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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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undergraduates have gone on to create or participate in start-ups . Qualifications Candidate requirements are as follows: Capable of delivering postgraduate course: Machine Learning Engineering Masters degree
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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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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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to design and implement or use generative models targeting RNA, DNA, and cellular systems, Computational biology, to develop/use the latest machine learning strategies and computational analytics to analyze
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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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