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testing of membranes and devices. Analyse data and prepare high-quality reports, publications and presentations. Collaborate with academic and industrial partners locally and internationally. Supervise and
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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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: Masters/Ph.D. degree in Electrical/Computer Engineering, specialized in Power Systems/Renewable Energy Planning/Optimization At least 5 years of professional experience with a strong focus on power system
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interdisciplinary research team. Vacancy: Research Fellow (AI Scientist) – Educational AI, Learning Analytics, and Immersive Simulation The Research Fellow will lead and support AI and data science workstreams across
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of Fine Arts to conduct user journey mapping and develop user archetypes through arts-based engagement approaches. • Triangulate quantitative and qualitative data to generate practice-oriented insights 2
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description of past research and future interests, and why you are interested in the Morad Lab (1 page max) A curriculum vitae Contact information for minimum 2 references Contact Information Viktoriia Morad
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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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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microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
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April 2026 to 31 March 2027. The successful applicant will be responsible for data scraping and quantitative data analysis. The post will include data scraping of online content related to counter