17 software-formal-method-phd Fellowship research jobs at Hong Kong Polytechnic University
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experience at the time of application; and (b) be familiar with theory of condensed matter, DFT, EPW, tight binding methods, ab initio modeling of electron-phonon mediated superconductivity and the
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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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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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mixed-methods research, encompassing both qualitative and quantitative research; (c) be adaptable to manage large-scale research projects; (d) have the ability to work independently and
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should: (a) have a PhD degree in Biological Science, Medical Science or a related field and must have no more than five years of post-qualification experience at the time of application; (b) have
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PhD degree in Computer Science, Linguistics and Communication, Psychology, Social Science, Humanity or a related discipline or an equivalent qualification and must have no more than five years of post
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spoken English and Chinese, with fluency in Cantonese and Putonghua; (c) have good knowledge of using statistical software such as SPSS, Mplus or AMOS in running statistical analyses such as SEM, HLM
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to communicate with the U3DP for collaboration; and (c) sound knowledge of and solid experience in 3D printing technology, including the related software and drawing tools, printing materials and various
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the research project - “White adipose tissue (fat) dysfunction in ageing and its related metabolic diseases: new insight and therapeutic intervention”. Qualifications Applicants should have: (a) a PhD degree
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machine learning methods, particularly large language models (LLMs), to marketing research. Applicants are invited to contact Prof. Edward Lai at telephone number 2766 7141 or via email at edward-yh.lai