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- “Development of modular microrobots and the image-guided intervention for minimally invasive anti‐adhesion treatment after tubal cannulation”. Qualifications Applicants should have: (a) a doctoral degree with
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the challenge in Computational Social Science and FinTech; (b) perform data collection and processing for the identified challenge issues; (c) conduct data analysis and design a framework for the identified
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factors engineering, human-computer interaction and design; (c) user research experience and proficiency in using qualitative and quantitative research methods; (d) interest and experience in research
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in the research project - “Development of efficient and cost-effective equipment for angstrom-level precision polishing and its application in processing optical complex surfaces”. Qualifications
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more than five years of post-qualification experience at the time of application. Preference will be given to those with related material processing and 3D printing research experience. Applicants are invited
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experience at the time of application. For all posts, applicants should also have: (a) strong research background in speech deepfake detection, spoken language processing and/or speech recognition; (b
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/TEA modeling, data analysis, and relevant software applications. For the post in Laser Flame Diagnostics, applicants should have relevant experimental background and data processing skills. For all
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and automation; (d) be proficient in designing and processing 3D-printers and sealed chambers; and (e) have strong problem-solving skills and a collaborative mindset. Post 2 of Research Assistant