224 data-"https:"-"https:"-"https:"-"https:"-"I.E"-"UCL"-"UCL" Fellowship positions in Singapore
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communication skills in English, with demonstrated experience in scientific writing - essential for data analysis and communication with stakeholders At least one first-author publication in an internationally
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with the PI and local research teams • Manage field-based data collection, including surveys, interviews, focus groups observational assessments • Design and validate survey instruments and context
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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
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on musculoskeletal health in occupational and community settings. Design and implement cohort-wide studies using questionnaires, interviews, and real-time task observations. Collect multimodal data via motion-capture
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publication record in reputable journals (published more than 3 journal papers) Good English writing and communication skills - essential for data analysis and communication with stakeholders Demonstrated
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• Applicants should have a PhD degree in civil or mechanical engineering or related disciplines • Possess fundamental knowledge in fatigue and fracture, structural integrity assessments and data driven
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an emphasis on technology, data science and the humanities. The PRECISE-SG100K is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has completed recruitment
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virology and cell-based experiments, including immunological and functional assays. Conduct metagenomic and evolutionary analyses. Develop and apply bioinformatics and Al-based tools for data analysis and