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to process and often have to be postponed to a later Selection Committee meeting. The deadline for meeting certain formal conditions – in particular those relating to limitations on career stages and previous
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living with dementia. The successful candidate will work across a variety of tasks and research methods to evaluate or develop and implement technology for longitudinal assessment in the home environment
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and/or quantitative methods. Is confident working with a range of stakeholders, including members of the public, emergency services staff, and industry collaborators. Can work independently and
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stakeholders and developing networks Ability to contribute to broader management and administrative processes. Possess sufficient breadth and knowledge in Health & Social Care research methods and techniques
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administrative processes. Possess sufficient breadth and depth of specialist knowledge in Health & Social Care research methods and techniques to work within SUMIT programme. To be successful at shortlisting stage
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commensurate to the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Sulaiman, at suhana_s@nus.edu.sg Formal application: Please submit your application
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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, STATA or R In-depth knowledge of research methodologies, systematic reviews, and syntheses Formal education/training in quantitative research methods and statistical analysis Excellent written and verbal
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ability to thrive in a collaborative, mixed-methods research environment. Strong personal motivation, self-management, and detail-oriented approach. Ability to adapt and navigate complex health systems and
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machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy. Research directions will be flexible and shaped according to mutual