646 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" "LaTIM Brest" research jobs in Singapore
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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, interpret and make meaning of the data collected. The RF/RA’s principal role will be to support the project through their Epidemiology/Biostatistics expertise, data analysis, scientific writing. In a lean
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Management Coordinate participant recruitment activities. Manage scheduling, consent documentation, and communication with older adults and their caregivers. Data Collection and Management Conduct and support
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activities and/or the management and analysis of complex research data. These positions offer the opportunity to work in a collaborative academic research environment at the intersection of public health
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are not limited to: • Data collection and management • Data analysis using software such as R, Stata or SAS. • Preparation of reports, presentations, manuscripts. • Writing grant proposals • Provide
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia
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research projects in the areas of Environmental and Cancer Epidemiology. Major duties and responsibility of the position include but are not limited to: • Data collection and management • Literature review
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Assistant’s principal roles will be to contribute to general research activities such as recruitment, data collection, administration of questionnaires, project coordination, data entry, verification, and
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intelligence, neuroimaging, data science, and public health to advance early detection and prevention of cognitive decline and ageing-related brain disorders. The research team works closely with local and
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have the ability to be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse audiences