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, or Master’s degree in Public Health, statistics or a health-related subject. Have or be about to obtain a relevant PhD in epidemiology, public health, statistics or related discipline Specific, recent research
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pending NICHD project on racial/disparities in exposure to family deaths and its effects on the transition into adulthood. Both are mixed methods projects, either integrating statistical analyses
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Assessments (LCA) and Techno-Economic Analyses (TEA) of processing (preferably in food) technologies Background in scale-up processing design, modeling, statistical analysis, and optimization. Have a degree in
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specifically. Passion and commitment to an excellent standard of work is highly desirable, and the ideal candidate will be motivated and adaptable. An understanding of medical statistics is also desirable
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: Mathematics, Mathematical Statistics and Computational Mathematics. The Division of Mathematics carries out research in a wide range of branches of pure mathematics, including algebra, analysis, combinatorics
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(Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well) • Proficient in statistics, data analysis and visualization
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research. Evidence of quantitative data administration and analysis using statistical platforms such as R. Demonstrable understanding of issues with data confidentiality/security/data sharing. Project
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and papers for publication and co-ordinate activities to maximise engagement with research and/or impact beyond academia. You have: A PhD in epidemiology, public health, medical statistics or other
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psychology or organisational psychology, with substantial expertise in mindset interventions, including high-impact publishing in this area (e.g., in leading journals), advanced statistical analysis
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-directed learner who believes in continuous learning and development with projects suitable for scale-up production and commercialization. Proficient in using statistics software, technical writing and oral