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for career development and networking. Competitive stipend and benefits. The chance to live in Hong Kong renowned for its quality of life and cultural activities. How to Apply and required documents: Personal
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journals with global impact Proficiency in statistical software packages, including R and SPSS, for large and complex data analysis What We Offer The appointment will commence as soon as possible on a 1-year
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
diseases like Pseudoachondroplasia (PSACH). Given that skeletal disorders often involve complex "ER storage" pathologies and genetic mutations, our research aims to bridge the gap between clinical
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and SPSS, for large and complex data analysis What We Offer The appointment will commence as soon as possible on a 1-year temporary basis, with the possibility of renewal subject to satisfactory
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
diseases, including intervertebral disc degeneration (IVDD) and rare bone diseases like Pseudoachondroplasia (PSACH). Given that skeletal disorders often involve complex "ER storage" pathologies and genetic
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and SPSS, for large and complex data analysis Proven knowledge and experience in undertaking research related to end-of-life care is advantageous What We Offer The appointment will commence from as soon
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agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R and SPSS, for large and complex data
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of large and complex datasets; excellent written and oral communication skills; and the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal
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mining, epistemic network analysis and cluster analysis. Experience in managing and analyzing large datasets, and the use of generative AI tools for research purposes are relevant strengths. The appointee
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highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times