1,765 data-"https:"-"https:"-"https:"-"https:"-"University-of-Dundee" Fellowship positions
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information about the research group and KAUST can be found under the following links: http://peterwonka.net/ https://cemse.kaust.edu.sa/vcc https://www.kaust.edu.sa/en If you are interested in joining us
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Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 27/01/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty
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, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database development teams and facilitate
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testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and
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well as validation of the platform in clinical contexts, beginning with Parkinson’s disease. The successful candidate will serve as a data manager to liaise between the project’s different data generating and database
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experience. They should also have a strong publication record in laboratory-based research and clinical data analysis. Applicants are invited to contact Prof. Chien-Ling Huang at telephone number 3400 8602
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify