1,766 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions in Singapore
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Sorry, this position has been filled. About Student Development Campus Life Admissions Education Copyright © 2022 Singapore
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 11-month contract at the Psychology, Child and Human Development department . Project
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Job Description Apply now Job Title: Business Development Manager, SCALE-Global Posting Start Date: 23/06/2025 Job Description: Job Description The School of Continuing and Lifelong Education (SCALE
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state-of-the-art facilities to work on the following: Developing advanced path planning, search, and exploration algorithms for multi-UAVs systems in unknown and complex 3D environments. Designing
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Job Description Job Alerts Link Apply now Job Title: Research Associate (Software Engineer) Posting Start Date: 04/04/2025 Job Description: About the Centre for Quantum Technologies (CQT) The Centre
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The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials
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Job Description Apply now Job Title: Manager, Business Development, Executive Education Posting Start Date: 26/05/2025 Job Description: Job Purpose NUS School of Computing (SOC), established in 1975
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economics Develop state-of-the-art algorithms in algorithmic game theory and fair division Design and conduct experiments to evaluate the algorithm performance Job Requirements: PhD degree in computer science
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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