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analysis, or assistive technology; Experience in applying AI methods such as machine learning, deep learning, computer vision, multimodal data analysis and large language models (LLM) in health-related
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learning models. Strong background in machine learning optimization, with experience in distributed or multi-node collaborative training; experience in large-scale training is highly desirable. Strong
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing geophysical/geomechanical
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record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, or optimization Proficient in both written and spoken
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, Signal Processing, Machine Learning, or a related field. An advanced degree (eg. Masters/PhD or equivalent) is preferred. Research background in Deep Learning, Large Language Models (LLMs), or Large
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Computer Engineering, Computer Science, Electronics Engineering or equivalent. Strong background in machine learning and computer vision. Strong publication records in top-tier machine learning or computer
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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI
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and devices in brain-computer interfaces: Including novel brain-computer interfaces, micro/nano electrodes, large-scale neural information recording, encoding/decoding, and brain-machine interaction
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of relevant research experience. Background conducting quantitative research in healthcare. Technical Skills or Knowledge: Proficiency in optimization, statistics, machine learning, econometrics, or AI