418 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" Fellowship positions in Singapore
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insights from cutting-edge clinical and translational research. More information on the Department’s research portfolio may be obtained from https://medicine.nus.edu.sg/obgyn/. The Core Support Faculty will
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Job Description Job Alerts Link Apply now Research Fellow (Atomistic Insights for Polyamide Interfacial Polymerization) University-Level Unit: College of Design and Engineering Faculty/Department
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programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Single Cell Technology, iHealthtech) Posting Start Date: 07/11/2025 Job Description: Job Description At iHealthtech, we envision
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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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supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed
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The AI4X Postdoctoral Fellowship supports outstanding early-career researchers who leverage Artificial Intelligence (AI) to accelerate breakthroughs across science, technology, engineering, and
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Job Description Job Alerts Link Apply now Research Fellow (Robotics/Mechatronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Mechanical Engineering
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation