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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills
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genomics, genetics, computational biology, cell biology, molecular biology, synthetic biology etc.) An outstanding publication track record, preferably with a first-author paper in a high-impact journal
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transfer activities and engagement with industry or governmental stakeholders. Requirements: PhD in Physics, Engineering, or related field. Extensive experience in Rydberg atom experiments and
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applies AI to tackle challenges in aquaculture and drug delivery, working at the interface of materials science, biology, and computational modeling. Key Responsibilities: Lead and execute AI-driven
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, analysis, or decision support. Contribute to academic publications, open-source releases, and capacity-building activities. Job Requirements: PhD in Computer Science, Data Science, Artificial Intelligence
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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The Optical Science Of Nanomaterials (OSON) group [www1.spms.ntu.edu.sg/~oson/ ], part of the Centre for Disruptive Photonic Technologies (CDPT) at Nanyang Technological University (NTU), Singapore