243 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Nanyang Technological University
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to the scientific community Job Requirements: PhD in chemistry, physics, material science, computer science or an allied field Experience with quantum computing frameworks, specifically Pennylane and Qiskit
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cutting-edge research in computational X-ray photonics. The research fellow will assist in the development of novel theoretical numerical framework pertaining the generation of compact, high quality X-rays
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bioengineering, aquaculture systems, and computer vision. Job Requirements: PhD or Senior Scientist in Bioengineering, Computer Vision, Environmental Technology, Biomedical Engineering, Aquatic Biology, or a
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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking
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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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contribute to grant proposals and progress reports. Collaborate with interdisciplinary teams within CQT and with external academic and industry partners. Requirements PhD in Physics, Engineering, Computer
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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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for active learning. The role will work at the intersection machine learning, high-throughput computation, and inorganic crystalline materials discovery, focusing on accelerating the design and
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning