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high-impact publications. 2-year appointment, with potential for extension subject to performance and fund availability. Responsibilities Develop advanced statistical and machine learning modeling
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potential in developing a record of publication in high-impact peer-reviewed journals; Exhibit a high level of competence and flair in written and spoken communication and in academic writing; Possess strong
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characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning
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under supervision of the Principle Investigator (PI). The scope of the project is on biomass valorization. Duties and responsibilities include: Develop a well justified approach to achieve a goal, once a
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under supervision of the Principle Investigator (PI). The scope of the project is on biomass valorization. Duties and responsibilities include: Develop a well justified approach to achieve a goal, once a
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safer, more efficient, and sustainable mixed-traffic future. Key Responsibilities: Design and conduct driving simulation experiments for risk scenario analysis. Develop deep learning models, such as GNNs
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of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research
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of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data
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studies to improve the understanding of fire and thermal runaway hazards associated with lithium-ion batteries and next-generation energy storage systems. The responsibility includes • Develop
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, and publishing research articles in alignment with the grant objectives Coordinate with external collaborators on project development Document, collate, analyse and interpret data Carry out procurement