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will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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implementation of new research ideas. Job Requirements: Preferably bachelor’s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a closely related discipline. Strong
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Publish research papers in top-tier journals and conferences Job Requirements: PhD degree in Electrical and Computer Engineering or Computer Science Strong publication record with papers accepted/published
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when appropriate. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team
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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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. Research in the group spans a broad and multidisciplinary scope, for example: Macro-processes reshaping who gets infected and when The molecular basis of differences in virus properties, such as antigenicity
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experiments to investigate mechanisms relevant to gastric cancer and microbiome-related research Perform microbiome profiling and molecular analyses Perform bioinformatics and integrative multi-omics analyses
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faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge