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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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executing mixed-method research (observational studies, focus groups, interviews, surveys) under the supervision of Principal Investigator (PI) Performing quantitative and qualitative analysis under
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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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Sciences, Chemistry, Physics, Computer Science, or related disciplines with a strong background in computational methods and machine learning. Experience in materials informatics, high-throughput
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mixed methods studies (e.g. patient recruitment, conducting individual and/or focus group interviews, designing questionnaires for survey studies, survey validation, data collection, and qualitative and
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or other closely related fields such as microelectronics/applied physics; Proven experience in vacuum thin-film deposition, solution thin film processing method, electrical-optical measurements, devices
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examining COVID-19 pandemic experiences from multiple perspectives to improve pandemic preparedness Design and refine research instruments for data collection Coordinate mixed-methods data collection and
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advanced statistical techniques would be advantages. Duties include (a) co-ordinating research projects and developing research methods; (b) data analysis and manuscript and grant preparation; (c) providing
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adequate knowledge of quantitative research methods, as well as a good command of written English. Experience and passion in research topics of palliative and end-of-life care and public health will be
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processing method, electrical-optical measurements, devices such as organic transistor, light emitting diodes and thermoelectrics and/or photovoltaics; Ability to work independently; and Good communication