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                . The research assistant will work with Dr. Amilcar Matos-Moreno and Dr. Alexis R. Santos for a year. The project’s emphasis will be on the size and structures of family and social support available to older 
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                or equivalent) -Driven/persistent DESIRABLE (but not required for application): -Prior volunteer/work experience in a research lab setting -Interest in handling data analysis code (e.g., R) -Prior 
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                metadata documentation. Preference will be given to candidates proficient in the R or Python programming languages, users of centralised code repositories (e.g., GitHub) and platforms like Hugging Face, and 
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                related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods 
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                technology. The successful candidate will provide research and development (R&D) leadership to the group that strategically advances science and technology focused on gas testing of prototype enrichment 
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                independently and meet tight deadlines Excellent communication and interpersonal skills Highly motivated, detail-oriented, and self-motivated Experience with SAS and/or R is a plus Ability to learn quickly and 
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                using statistical software packages such as STATA, R, or others Knowledge and understanding of competitive research funding to be able to develop applications to funding bodies Proven ability to analyse 
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                preference for those researching the history of France. Sir Colin R Lucas is a historian and former Vice-Chancellor of the University of Oxford. He specialises in the history of France, and the donors, who 
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                career-driven, experienced in project management and engagement, possessing strong communication skills, and with aspirations to expand their skills and move into a Research & Development (R&D) leadership 
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                planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python