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be a hot bed for top quality research and the playground for commercialization and start-ups. Qualifications A PhD degree in Computer Science/Computer Engineering Possess strong background in
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Job Description The successful candidates will contribute to research activities related to use of computer vision, machine learning, and analytics to construction safety. The candidate shall work
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papers to be published at prestigious journals. Qualifications PhD holders in the fields of electromagnetic and antenna engineering Experience in programming machine learning/neural network algorithms
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Neural Networks. The successful candidate is required to: • Contribute to Deep Learning and Interpretable Graph Neural Networks • Contribute to Dialogue, Speech Signal Processing and Machine Learning
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Neural Networks. The successful candidate is required to: • Contribute to Deep Learning and Interpretable Graph Neural Networks • Contribute to Dialogue, Speech Signal Processing and Machine Learning
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to understand and improve the complex systems of liner shipping service networks, with a particular focus on service network structure, scheduling, and fleet management. Utilize machine learning techniques
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on interesting and challenging problems in this focal area. Qualifications PhD degree in a relevant discipline Research areas related to AI, collaboration in domains such as customer service, healthcare Machine
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-periodic and quasi-periodic structures). Skills in tight-binding and/or machine learning skill are given higher priority. • Experience: Has at least 4 years of doing DFT-based computational studies
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photodetectors. 4) Be skilled in at least one computer programming language for data processing and analysis. Programming experience in neural networks or machine learning is preferred. 4. Independent Research
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without prior experience. Ideal candidates will possess expertise in artificial intelligence (AI), machine learning (ML), bioinformatics, and biology. We strongly encourage applicants with a demonstrated