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Field
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integration and software engineering for R\&D, including the deployment of models within a microservices architecture, with validation of the developed models and systems on sign-language data. Applicable
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architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
researchers who undertake high impact collaborative and cross-disciplinary research, and whose expertise in AI-driven wireless communications, semantic processing, and 6G network architectures to contribute
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to compare the genetic architecture of rare vs. common genetic variation 2. Developing methods to analyze GWAS data using graphical models and genome-wide genealogies 3. Developing methods to integrate rare
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imaging-based microstructural analysis. Current activities include nanostructured biosensing interfaces for extracellular vesicle detection, mesoporous material architectures for pore-blockage sensing
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, TensorFlow, Scikit- Learn, CNTK. Also Big data technologies such as Apache Hadoop and spark, Devops/MLops. Must have a firm grasp and understanding of data structures, data modeling and software architecture
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian ERI@N is seeking an experienced and motivated Research Fellow/Senior
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Group (https://squis.snu.ac.kr/ ) at Seoul National University (SNU) invites applications for Research Fellow (postdoctoral or senior) and/or Research Professor (assistant or associate level) position(s
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fellow recruitment and selection against the architecture set by the Executive Director, manages confirmed partnerships and program budget execution, supervises student workers, and represents
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techniques to enhance robot capabilities, human objective prediction, and decision-making architectures. Developing verification methods, transparent evaluation frameworks, and performance metrics to ensure