276 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship research jobs in Singapore
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++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents, or similar. Solid expertise in
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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . The Yanyan Cheng research group is seeking a Research Fellow. This position
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . This position supports frontier research in the electrocatalysis of hydrogen
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accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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Job Description Job Alerts Link Apply now Job Title: Research Fellow, School of Computing Posting Start Date: 05/01/2026 Job Description We are the NUS Avant Lab, led by Prof. Jingxian Wang (https
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fellow to join the Genome Re-InnovaTion-Lab (https://grit-lab.org/), part of the Synthetic Biology Translational Research Programme (TRP) at the National University of Singapore, Yong Loo Lin School
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The School of Materials Science & Engineering is seeking to hire a Senior
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to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP