35 machine-learning-phd research jobs at Hong Kong Polytechnic University in Hong Kong
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, Machine Learning, Business and ESG. Applicants are invited to contact Prof. Qiang Wu at telephone number 2766 7078 or via email at qiang.wu@polyu.edu.hk for further information. Conditions of Service A
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, machine learning, signal processing, or human-computer interaction; and (d) a passion for creating technology that has a direct, positive social impact. Applicants are invited to contact Prof. Shaonan
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The appointee will assist the project leader in the research project - “MLFF-agent: autonomous discovery of machine-learning force field with large language model”. He/She will be required to: (a) be the
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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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The appointee will assist the project leader in the research project - “Improving vision and quality of life in patients with glaucoma using non-invasive brain stimulation and perceptual learning: A randomized
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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited
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network and customer engagement with machine learning”. Qualifications Applicants should have: (a) an honours degree or an equivalent qualification, preferably a master’s degree or above; and (b
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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone
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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load
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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