1,021 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions in Singapore
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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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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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to open-source and/or standards-oriented outputs. • Mentor students and support group research activities. Qualifications Required qualifications • PhD in Computer Science, Electrical Engineering
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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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automation into legacy systems. Evaluating and recommending digital tools (e.g., cloud platforms, collaboration software) to meet faculty needs. Leading the integration of new technologies with existing
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datasets Conduct statistical analyses and prepare proof-of-concept demonstrations across selected literature domains Job Requirements: Bachelor’s degree in Chemistry, Data Science, Computer Science, or a
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of Singapore invites applications for the position of Kwan Im Thong Hood Cho Temple (KITHCT) Visiting Professor in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed
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to work on designing, training and optimizing compact computer vision / multimodal models for deployment of privacy-preserving inference pilots. Key Responsibilities: Design and develop compact computer
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. The candidate is expected to work on implementing and optimizing the deployment of privacy-preserving inference pilots of efficient computer vision / multimodal models. Key Responsibilities: Design and develop a
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, in his/her early stage of academic career, with the potential and drive to pursue an independent and vibrant research program with a collaborative interdisciplinary approach in radiology and the