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State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University. | Spain | 6 days ago
clinical big data. Our mission is to develop original theories, key technologies, and next-generation medical devices to advance minimally invasive/non-invasive medicine. We have made landmark
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and its Mathematical Theory ï·Artificial Intelligence and its Mathematical Foundations ï·Mathematical and Statistical Methods for Big Data Analytics ï·Mechanism and Data Modeling with Integrated
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integrated research ecosystem spanning technology development, data infrastructure, and clinical application. Key areas include AI and virtual cells, stereo-cell biomedical informatics and big data, clinical
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, security governance, and open sharing of China's big bioinformatics data, supporting life science research and biomedical applications. The Center has established a technical platform covering the
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Economics and Management (School of Technology and Business) 2 Theoretical Economics, Industrial Economics, Business Administration, Enterprise Management, Artificial Intelligence, Big Data and other
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Phenomics Leading Talents, Intelligent Breeding Technology R&D Center Position 3: Design of molecular regulatory circuits and trait Position 4: AI/big-data-driven intelligent breeding Position 5: Gene
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requirements (Ref. KK- 2025/00084/BB/002). Eligibility criteria Master’s in Big Data (0–30) Experience in multimodal data analysis (0–10) Experience in modelling complex systems (0–10) Experience with
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Health, Sports Health and Communication Technology, Health Big Data, and Research Methods. Develop and enhance digital sports and health curricula by integrating smart devices, wearable monitors, and
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management, carbon technologies and management; cross-discipline with the following areas including AI, environmental big data, environment pillar in ESG, and sustainable city etc. Job Requirement
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Fundacion para la Investigacion e Innovacion Biosanitaria de Atencion Primaria | Madrid, Madrid | Spain | about 2 months ago
15 points) Publications of original research findings. (Up to 5 points) Training in Big Data, Health Information Systems, Data Interoperability, Data Science, Artificial Intelligence, Data