667 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Nanyang Technological University
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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journals and conferences Good research experience in AI and machine learning as well as wireless networking Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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to teach this undergraduate course at the Wee Kim Wee School of Communication and Information. The course examines narrative structures and strategies commonly used in different cinematic genres and to
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to teach this undergraduate course at the Wee Kim Wee School of Communication and Information. The course will examine opportunities and trends for innovative digital media products and/or services
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. We are looking for a Project Officer for analysis of plant genomics data Key Responsibilities: Genome assembly from long-read sequencing data De novo gene and repeat annotation of genome assemblies
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to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning
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for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research
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As part of NTU’s Learning & Talent Management team, you will play a pivotal role in shaping NTU’s enterprise‑level people development narrative in support of the NTU2030 vision. This role is about
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Content framework here: https://entuedu.sharepoint.com/sites/Student/cs/adm/Shared%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FStudent%2Fcs%2Fadm%2FShared%20Documents%2FCourse%20Contents
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scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems. Close collaboration with PhD students involved in the project. Participate in