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materials characterization (e.g., SEM, XRD, FTIR, mechanical testing). Proficiency in data analysis tools (Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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, Materials Science and Engineering, Artificial Intelligence, Data Analytics or related disciplines or an equivalent qualification and must have no more than five years of post-qualification experience
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reproducible analytic workflows, integrating data from multiple sources, creating data visualizations, and contributing to scientific reports, presentations, and manuscripts. This fellowship will provide a
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technologies and ICT (e.g., blockchain, IoT, data analytics) in future energy systems. Willingness to contribute to academic dissemination (e.g., publications, conferences) and collaborative project tasks
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and computational analytical capability for drug discovery-based research using multi-omics data analysis. This role offers the opportunity to contribute to a uniquely integrated research environment
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data and communicate findings through presentations, publications, and grant reports. Collaborate with multidisciplinary teams working in RNA biology, ASO therapeutics, and translational research. Mentor
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near completion), or equivalent PhD level qualifications. High level analytical capability Ability to communicate complex information clearly Ability to work collaboratively in a multidisciplinary, multi
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writing for federal (e.g., NSF, DoD) and state (e.g., ARA) funding agencies and foundations; Intermediate-level understanding of research methodology, data collection techniques, and statistical/analytical
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with colleagues developing simulation models, digital twins, data architectures and federated transport/manufacturing models. This role will provide the optimisation and decision-support capability