35 web-programmer-developer-"INSERM" Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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spoken Cantonese) and English quantitative research skills (including in survey development and multilevel data analysis) and/or qualitative research skills (including in developing interview schedule and
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of social capital in Chinese/Asian contexts and its functions among different populations, identify ways to engage and empower local stakeholders for social capital development in the Chinese/Asian contexts
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computational screening, or machine learning for materials property prediction is essential. Candidates with prior experience in developing AI models for accelerated materials discovery, optimization of material
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protocol and questionnaires Prepare human ethics applications for research projects Design the logistics of patient recruitment in the study Communicate with community partners for recruitment and logistics
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will be given to those with experience in community health research. The appointee will be responsible for literature review, data collection and analysis; project design, intervention development
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strong sense of responsibility; and be capable of managing various aspects of a project and meeting deadlines. The appointee will assist the Principal Investigator in implementing a teaching development
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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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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