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partners in the digital health and health delivery ecosystem. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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data using multivariate statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft
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, as well as quantum simulation, quantum computing, and machine learning. Currently, ECT* hosts 5 permanent researchers, 4 postdoctoral associates, the ECT* Director, 3 Ph.D. students, and 4
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
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radiation beamline hands-on experience in X?ray microscopy techniques, X?ray diffraction or X?ray fluorescence working knowledge of image processing e.g. using machine learning German skills For further
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, and who have strong grounding in the methods and practice of oral history. The holder of this postdoc will teach two courses a year, one an introduction to oral history method and practice, and one
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friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We have openings for talented early-career scientists who are ready to take up a leadership role in our
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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plus 5-8 years of work experience preferably in an academic environment; computer skills; proven supervisory experience; ability to problem solve issues for undergraduates, graduate students, faculty