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supplemented, enhanced, and analysed during the project. We will use digital imaging and other techniques to recover new texts and will deploy approaches from Computational Linguistics (including Large Language
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
estimation in robotics, stochastic control in systems and control theory, stochastic image processing or probabilistic computer vision). The School/Department The School of Engineering brings together a
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 2 days ago
and learn about emerging technologies within the FDA’s Digital Health and AI ecosystems. Collaborate with experienced FDA statisticians to refine the checklist and GPT prototype, receiving iterative
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steps in lithium-ion cell manufacturing—by building a scientifically informed and scalable framework for next-generation production. A key workstream of the fast FAST project provides the digital and
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UiO/Anders Lien 10th April 2026 Languages English English English PhD Research Fellowship in Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich