53 parallel-computing-numerical-methods Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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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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Bioinformatics, Computer Science, Medical Informatics, biostatistics or a related discipline, with a good research publication record and strong programming skills. Preference will be given to those with previous
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temporary or a 2 to 3-year fixed-term basis for RAP, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Computer
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Biological Sciences, preferably in ophthalmology or computer sciences or statistics or public sciences; (ii) proficiency in English; (iii) solid experience in ophthalmology and visual sciences research, deep
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14 Mar 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Sociology Ethics in health sciences Mathematics Researcher Profile
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Researcher (R3) Country Hong Kong Application Deadline 31 Mar 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Or those with experience in managing and analyzing large datasets, and the use
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methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Or those with experience in managing and analyzing large datasets, and the use
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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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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