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and compilation algorithms; (c) evaluate the performance of the proposed approaches; and (d) perform any other duties as assigned by the project leader, the Head of Unit or their delegates
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. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and
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arm control algorithms in both simulated and real-world environments; (d) train robotic systems in simulation environments using reinforcement learning; (e) collaborate with clinicians to ensure
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well as experience in applying deep learning and machine learning algorithms for pathogen identification, drug target prediction, antimicrobial drug discovery, and/or protein-protein interaction studies. They should
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multimodal brain-computer interface”. They will be required to: (a) help build a multimodal system that integrates EEG, camera footage, and physiological signals; (b) develop and implement algorithms
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algorithms. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data
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the throughput and reliability of Low-Power Wide-Area Networks; (b) implement algorithms and carry out performance evaluation; and (c) perform any other duties as assigned by the project leader, the Head of
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/ Digital forensics; Algorithms. Supervise final year projects and capstone projects, provide mentorship and academic guidance to students; Collaborate with colleagues to develop or enhance the curriculum
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pipelines, Mixed Reality Toolkit customization, and performance tuning under hardware constraints; collaborating on robot motion planning, path optimization, and sensor data processing algorithms
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan