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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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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
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wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences
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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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for tumor suppressors and oncogenes using mouse models, functional studies for the immune cells in tumor microenvironment and cancer biomarker analysis and drug testing in vitro and in vivo. Applicants should
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evaluation. Conduct in vivo studies, including administration of nanoparticles, monitoring fate, therapeutic response, and assessing the impact on disease progression. Develop relevant disease models to assess
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one or more of the following areas: functional studies for tumor suppressors and oncogenes using mouse models, functional studies for the immune cells in tumor microenvironment and cancer biomarker
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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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our research team at HKU working at the forefront of ocean remote sensing and global change monitoring. Our work combines satellite data, physical models, and AI methods to understand ocean dynamics and
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, and assessing the impact on disease progression. Develop relevant disease models to assess therapeutic efficacy of a specific treatment. Demonstrate understanding of the disease pathology for better