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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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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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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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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
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data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding of causal inference methods is essential to develop
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have a Ph.D. in Biological/Biomedical Sciences, Microbiology, Bioengineering, or a related field, with experience in cell culture, molecular and cell biology, and animal models. Skills in bioinformatics
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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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experience working with unstructured data, such as LinkedIn data or job advertisements, as well as expertise in web crawling, large language models, and text analysis techniques. An excellent understanding
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, genomic, and bioinformatic analysis will be an asset. Duties and Responsibilities Perform independent, interdisciplinary cell biology, molecular biology research in model organisms or cells Collect, analyse