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University of Singapore is dedicated to the interdisciplinary study of humans and algorithms on the Internet, and its implications on the society of the future. This is an exciting opportunity to join us as a
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National University of Singapore, Department of Statistics & Data Science Position ID: 3020-POSTDOC [#27642] Position Title: Position Type: Non tenure-track faculty Position Location: Singapore
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leverage their expertise to develop innovative algorithms for data analysis. Additionally, they will be responsible for communicating their findings to the scientific community through academic meetings and
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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teaching assistant (TA) assignments for PhD students in collaboration with the Postgraduate Office, ensuring equitable workload distribution and maintaining accurate tracking databases. Perform any other ad
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communication in English. • Ability to work with colleagues of different background, as well as conduct pilot study on construction sites. • Familiar with construction workflows and optimisation algorithms
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, SuperGLUE, LiveBench). Familiarity with distributed training frameworks and high-performance computing environments. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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https://dr.ntu.edu.sg/entities/person/easonchen . We are looking for a highly motivated Research Fellow to facilitate research in using atom probe tomography (APT) to study the distribution of hydrogen in
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/Simulink, conducting performance and reliability simulations, and analysing the behaviour of solar PV, BESS, diesel generators, and DC distribution systems. The engineer will also document modelling
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. Other duties include post-event content generation (recap articles, short video cuts, highlights distribution). Qualifications Proficiency in writing professional content in Mandarin, with the ability