152 software-formal-method-phd Fellowship positions at National University of Singapore in Singapore
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be expected to be flexible in their role, as the research team’s scope and capacity evolve. Qualifications PhD (or PhD near completion) in a relevant field such as Public Health, Nursing, Social
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operation and data analysis including familiarity with image analysis software such as Fiji/ImageJ, IMARIS, etc. Preferably, experience with microscopy image analysis and data analysis in time-resolved
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development, service delivery, and policy frameworks. Employ participatory approaches, such as community-based participatory research (CBPR) and co-design methods, to engage older adults, caregivers, and
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Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of
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Roles Lead a retrospective study utilizing a decade of health data to create a comprehensive HRI database. Investigate the distribution and determinants of HRI by applying epidemiological methods
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wearable devices. Investigate new materials and fabrication methods to improve the flexibility, efficiency, and scalability of wearable electronics. Collaborate with multidisciplinary teams, including
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wearable devices. Investigate new materials and fabrication methods to improve the flexibility, efficiency, and scalability of wearable electronics. Collaborate with multidisciplinary teams, including
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: Applicants must have a PhD degree from a reputable institution, and preferably have formal work experience in biodiversity and/or specimen-based research after obtaining the PhD degree. • Language: Applicants
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diffusion models using path integral formulations. This project aims to advance quantum machine learning by: Designing a quantum counterpart of diffusion models; Leveraging path integral methods to model
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to the terrestrial carbon cycle. Implement advanced statistical method to explore the vegetation dynamics. The formulation and testing of ecological hypotheses on vegetation dynamics. Presentation of results