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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
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. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic
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value and student learning experience is crucial. Preference will be given to those with experience in qualitative analysis and advanced statistics such as Structural Equation Modelling, Multilevel
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or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic research papers. They should be organized, self
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subject to satisfactory performance and availability of funding. Duties and Responsibilities To conduct research on the numerical modeling of giant-planet magnetospheres, with a primary emphasis on
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immunology and molecular biology techniques, and able to work independently and in a team. Preference will be given to those with work experience in transcriptome, animal models and molecular experiments
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. Preference will be given to those with expertise in innovative methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process
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To conduct research on the numerical modeling of giant-planet magnetospheres, with a primary emphasis on Jupiter’s magnetosphere–ionosphere system. The successful candidate will lead and analyze global
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methods of advanced statistics and/or learning analytics, such as multiple linear regression, mediation analysis, mixed-effect models, process mining, epistemic network analysis and cluster analysis