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data Conclude the study in journal publications and patent filing Job Requirements PhD from Chemical and Biomedical Engineering, Optical Engineering, Signal Processing, Precision Instrument, Information
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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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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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digitalization and computation. To further develop machine learning tasks for scent signal classification/fusion. Set up and analyze experiments under different conditions. To propose a methodology/framework in a
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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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data Conclude the study in journal publications and patent filing Job Requirements: PhD from Chemical and Biomedical Engineering, Optical Engineering, Signal Processing, Precision Instrument, Information
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on cell biophysical properties. To validate MRR as novel CQA in stem cell manufacturing. Key Responsibilities: Design and develop a microfluidic prototype to analyse the electrical signals of cells
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, for the purpose of aiding and enabling downstream tissue engineering and preclinical study, working with other team members. Key Responsibilities: Design and develop a prototype to analyse the electrical signals
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with access to state-of-the-art core facilities. The staff will: Perform experiments, document results, and analyze data to better understand specific mutations and signaling pathways involved in
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engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work