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Universities; and #8 for Data Science and AI by QS World University Ranking. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers
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Universities; and #8 for Data Science and AI by QS World University Ranking. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers
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international research grants. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top-tier venues (e.g., IEEE S&P, Usenix Security, NDSS, CCS, ICSE, ASE
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Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline Proven research track record demonstrated by publications in top-tier venues (e.g., IEEE S&P
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Universities; and #8 for Data Science and AI by QS World University Ranking. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers
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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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Universities; and #8 for Data Science and AI by QS World University Ranking. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers
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integrated circuits Coordinate foundry submissions for the entire center Job Requirements: PhD in electrical engineering, with more than 4 years of relevant experience. Skills in photonic platform development
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predictions for the spatiotemporal interaction between free electrons, photons and nanomaterials Publish high quality papers Requirements PhD in Engineering, Physics or related field Knowledge in classical