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world, producing and communicating work that has an impact on the important issues related to AI in healthcare. Requirements Recognized Doctoral degree in a relevant discipline (Computer Science, Engineering
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invites applications for Research Assistant for the Cardiovascular-Metabolic Diseases Translational Research Programme (CVMD TRP), Yong Loo Lin School of Medicine. CVMD TRP is a multidisciplinary team of
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psychology of new media, computational communication, data analytics, museums and curation, cultural informatics and analytics, and so on. Anticipated Start Date: 1 July 2025 And other courses under
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Job Description Job Alerts Link Apply now Job Title: Research Assistant, Faculty of Dentistry Posting Start Date: 15/01/2025 Job Description: Job Description The research assistant will report to the PI and work closely with the research team and various stakeholders. The responsibilities...
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Responsibilities 1. Administration of MSc in Medical Pharmacology coursework programme. 2. Prepare DSRB/IRB-related to education research projects. 3. Manage budgets and grants of education-related projects. 4
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of the position include: (i) Co-ordinate and teach courses in our B. Pharm. (Hons) programme; (ii) Support the design, optimization and conduct of practical classes in the undergraduate programmes; (iii) Adaptation
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Job Description Job Alerts Link Apply now Job Title: Research Associate/Fellow (Data Scientist) Posting Start Date: 22/05/2025 Job Description: Job Description This job description outlines a position for a Research Associate/Fellow (Data Scientist) in Data Science at the Department of Family...
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team Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives Requirements Academic background in the following subjects is preferred: computing, information systems
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Job Description Job Alerts Link Apply now Job Title: Professor (HSSR/MO) Posting Start Date: 08/05/2025 Job Description: Job Description The Signature Research Programme in Health Services and
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computational techniques. Engage with neural network generative models to explore new ways of enhancing system resilience across various domains. Stay abreast of the latest developments in resilience research