93 parallel-computing-numerical-methods positions at Hong Kong Polytechnic University in Hong Kong
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) knowledge of SPSS or related qualitative analysis software (e.g. NVivo, MAXQDA, Taguette) and experience with AI-assisted coding methods; (c) an excellent command of both written and spoken English and
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project - “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b
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possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Attentional dynamics in professional bilingual performance: A mixed-method investigation of
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methods for sparse optimization”. Qualifications Applicants for the Senior Research Fellow post should have a PhD degree, preferably in Mathematics with at least six years of postdoctoral research
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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skills of computer science (e.g., LLM) Applicants are invited to contact Prof. Shenyang Jiang at telephone number 3400 3623 or via email at shenyang.jiang@polyu.edu.hk for further information. Conditions
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or above in Rehabilitation, Social Science, Computer Engineering or other health-related disciplines or an equivalent qualification; and (b) be self-disciplined and have a strong sense of responsibility
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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) have a strong research background in machine learning, deep learning, human-computer interaction and XAI; (e) be proficient in programming languages such as Python and at least one deep learning
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and interpersonal skills; and (d) be proficient in computer skills including SPSS, Microsoft Office, and Chinese word processing. Applicants are invited to contact Dr Winsy Wong at telephone number