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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 8 hours ago
, ML, DL computer vision, and NLP methods applied to omics, imaging, and clinical datasets; programming skills with experience in ML/DL frameworks; data visualization and EDA expertise; multi-modal data
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To undertake any other duties
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, distribution network modelling and power-flow analysis, building operational databases, and developing/validating AI-enabled state monitoring and state estimation methods for future resilient distribution
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008
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proposals to develop, optimize and deploy a headspace collection method to measure partition coefficients at physiological temperatures. We are especially interested in methods that target molecules
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external fundings when appropriate. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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Hyundai-NTU-A*STAR Corp Lab has a robotic pick and place project. We are seeking to hire a research associate to carry the computer vision part of the project. Responsibilities: Develop effective