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programs, oversee data collection and analysis, prepare reports and presentations, supervise research assistants, and perform other relevant tasks as assigned. There will be many opportunities to collaborate
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, aerosol simulation data, airflow data, as well as the development of an analysis pipeline. Enquiries about the duties of the post should be sent to Dr. Eric Schuldenfrei at eschulde@hku.hk . A highly
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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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project partners and collaborators, and performing other duties as assigned. Publication opportunities and professional development support are available. Shortlisted candidates will be invited to attend a
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as well as in a team. The appointee will work on interdisciplinary projects related to the development of novel therapeutic agents targeting cancer-related proteins for therapy. These are collaborative
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research team to conduct data analysis for different types of data, including genomic/metagenomic sequencing data, ecological surveillance data, as well as development of analysis pipeline. Working off
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will be given to applicants with experience in multimodal imaging analysis, federated learning, or interpretable AI methods for clinical applications. The appointee will be expected to (i) develop novel
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I/II (holding the functional title of Project Assistant) in the e-Learning Development Laboratory (url: https://elearning.eee.hku.hk/ ) of the Department of Electrical and Electronic Engineering (Ref
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develop analytical tools in the field of immunology. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits
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study of growth among children and adolescents in Hong Kong. We aim to identify the vulnerable group and estimate their future risk to develop the guide for effective interventions. You will be expected