407 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "J" Fellowship positions in Singapore
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The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF), jointly supported by Nanyang Technological University (NTU) and Singapore’s National Research Foundation (NRF), is a prestigious programme
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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/Associate(s) to join a new group led by Dr Angkana T Huang. Successful candidates will have the opportunity to work on one of several research projects using computational methods to understand the mechanisms
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and grant applications. Key Responsibilities Provide intellectual and technical leadership in bioinformatics and computational biology to support high-impact, hypothesis-driven research. Lead and
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: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering, or equivalent. Independent, highly analytical, proactive, and a team player; strong verbal and written communication skills
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responsible for: Supporting empirical research projects in investments and financial markets, with a strong emphasis on computational and AI-based methods. Designing, implementing, and maintaining research
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expected to join at the end of 2025 or early 2026. The position is a one-year appointment and might be renewed up to 2 years based on the performance and career plan of the hired person. Responsibility
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Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD). . Candidate who is in the final stages of PhD studies (i.e. submitted
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PhD qualification degree in Electronic Engineering or Computer Science Familiarity with pinching antennas and machine learning Good written and oral communication skills Proficiency in python