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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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culture and animal studies Supervise undergraduate students Job Requirements: PhD in biomedical engineering, biotechnology, chemical biology and relevant backgrounds Good written and oral
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developing AI-based smart healthcare monitoring devices, focusing on biosensor development, lab-on-chip, and point-of-care technologies. Apply machine learning and computer vision techniques to analyze
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division...
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, or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also
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journals such as S&P, USENIX, SIGMOD, VLDB, NeurIPS, ICML, AAAI, or ICLR. Job Requirements: A PhD degree in computer science, computer engineering, mathematics, statistics, or a related discipline with a
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Job Description Job Alerts Link Apply now Job Title: Postdoctoral Fellow (Health Economics and Medical Innovation) Posting Start Date: 04/02/2025 Job Description: Job Description Applications
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of SASEAF Postdoctoral Fellow in Prof Lee Hiang Kwee group. The SASEAF Postdoctoral