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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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using thematic analysis) – please indicate clearly skill sets possessed in application ability to work independently experience in project coordination / working with schools is preferred, but not
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General Research Fund (GRF) grant for studying infectious airborne disease transmission in relation to urban and building-level airflow paths. Applicants should possess a PhD degree in Engineering, Computer Science
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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 Science
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for a two-year term, with the possibility of renewal based on satisfactory performance. We are seeking a highly motivated and talented candidate with a Ph.D. in Biomedical Sciences, Biological Sciences
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, Computer Science, Electronic Engineering, Artificial Intelligence, Biomedical Engineering (Health Informatics and/or Bioinformatics), Medical Statistics, Public Health and Epidemiology, and other majors
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functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical learning and language processing, perform EEG data analyses, and neural computation and
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Ref.: 531572 Work type: Full-time Department: Department of Electrical and Electronic Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Research Assistant
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Ref.: 531844 Work type: Full-time Department: Applied Oral Sciences and Community Dental Care of the Faculty of Dentistry (08023) Categories: Senior Research Staff & Post-doctoral Fellow Post