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at NTU are looking for a Research Fellow (RF) to carry out in research in probabilistic machine learning, causal discovery and GenAI, by exploring cutting-edge approaches such as causal representation
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. The position contributes to “Brain-in-Space: A Machine Learning Framework for Self-Organizing Low-Earth Orbit Satellite Networks”, funded by the Global Science and Technology Diplomacy Fund. You will investigate
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. The position contributes to "Brain-in-Space: A Machine Learning Framework for Self-Organizing Low-Earth Orbit Satellite Networks", funded by the Global Science and Technology Diplomacy Fund. You will investigate
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privacy, machine learning, and applied cryptography. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community. To provide guidance and
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-UAS technologies o Multi-agent systems and swarm robotics o Autonomous navigation and guidance o Computer vision and perception o Machine learning
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to technology development, knowledge dissemination, and translational opportunities Job Requirements: B.S in Chemistry with a focus on computational/peptide/organic/machine learning or a closely related
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materials discovery with cutting-edge high-throughput platforms, robotics, machine learning, and autonomous experimental workflows. Access World-Class Facilities: Based in the Department of Chemical and
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will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics
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of optimization and generalization to inform the design of practical training algorithms. To produce high-quality publications in top-tier machine learning conferences and journals. To offer guidance and assistance