54 finite-element-analysis Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
Sort by
Refine Your Search
-
written and spoken English and Chinese (Cantonese); good communication skills; advanced knowledge and experience with statistical and data analysis software (e.g., SPSS, R, Stata, Nvivo) and MS Office
-
informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
-
discipline. They should demonstrate good knowledge of quantitative and/or qualitative analysis; have a good command of written and spoken English and Chinese (advantage); have good interpersonal skills and a
-
degree or above in Biostatistics, Biomedical Sciences or related disciplines with at least 3 years’ post-qualification experience (preferably in clinical research, epidemiological data analysis of large
-
. They should have solid knowledge of chemistry and biology, and an excellent command of spoken and written English and Chinese. Experience in bioinformatic data analysis including microbiome, virome and
-
Science, Biomedical Sciences/Engineering, Electrical Engineering, Medical Physics, or related disciplines with a strong background in artificial intelligence and medical image analysis. Experience in deep learning
-
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
-
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
-
. Previous work experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records
-
learning in imaging analysis, clinical trials, epidemiology, genetic study, big data analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools