78 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions in Singapore
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Science 2018). Our research combines in vivo and in vitro experimental platforms to explore mechanisms of synaptic and neural network activity dysfunction in the human neocortex. Using human iPSC-derived
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data analysis (TDA) techniques such as persistent homology, with application in real data sets such as biomolecular data and network data Perform data preprocessing, feature extraction, and analysis
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Fuzzing) in IoT (Wireless) networked systems; Research on IoT honeypot and threat intelligence. Qualification & Experience: PhD degree in Computer Science, Computer Engineering, or related field
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PhD and honours students with their projects as needed (e.g., help with code, advise on study design, etc.) Build prereading for EARP Lab potential joiners; support onboarding/mentorship Propose new
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in the area of distributed radar we are looking for a research fellow with expertise and experience in this area. Experience with highly accurate time synchronization of data received by a net of radar
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to uncover SRL patterns in video-based learning (VBL) and digital game-based learning (DGBL) environments; • Conduct process mining and network analysis to differentiate SRL patterns between high- and low
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to fourth year of Project 3, the main goals are to examine the changes in students’ peer networks and quality of relationships with key significant others (i.e., peers, parents and teachers), the influence
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quality reports and documents that consolidate research findings Job Requirements: PhD degree in optics or related field Familiarity with national codes and standards Good written and oral
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should be highly proficient with a range of machine learning approaches, including unsupervised, semi-supervised, supervised, and various deep learning techniques (e.g., convolutional neural networks
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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social