123 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at Nanyang Technological University
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the essentials of linear algebra, calculus, probability, statistics, algorithms, and data structures. The goal is to provide a foundational understanding of machine learning and deep learning methods
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, ML, and data science, and apply them to research projects. Document development processes, models, and algorithms for future reference and reproducibility. Ensure compliance with data privacy and
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Digital Twin for electric vehicle applications . The role will focus on utilizing novel machine learning models, large language models, and data science algorithms to develop battery models, optimization
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maintenance of both mammalian and microbial cells Devise micro-bioreactor for co-culture of mammalian and microbial cells Program control algorithm for optical sensors Design, fabricate, and optimize
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Responsibilities: Design and optimize machine learning models for aesthetic image editing. Explore and experiment with new image processing techniques and algorithms with partners. To produce research reports and/or
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will have to simulate the DC characteristics of the “fabricated” device (MOS transistor) and analyze device operation with respect to potential, field, and carrier distributions as well as extract
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Media Marketing, or a related field 3 – 5 years of experience in digital content creation and social media management Strong understanding of social media platforms, algorithms and trends Knowledge of SEO
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University’s goals Manage the enrollment, renewal, and distribution processes for all benefits plans Ensure compliance with regulations pertaining to benefits and stay updated on changes in legislation Handle
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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(networked) dynamical systems" (broadly defined) and there is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving efficient algorithms with provable