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use data from the Georgian Birth Registry (GBR) to study birthweight in relation to gestational age and to improve how small-for-gestational-age (SGA) infants are identified in a country with very high
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in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling complex datasets and
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. Duties and Responsibilities: Lead the development of company-level climate risk measures and related analytical frameworks, including the construction of databases, regional climate-risk summaries, and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 18 days ago
analytical tools Learning research database design principles and data management best practices Contributing to development of evidence-based recommendations for regulatory policy enhancement Participating in
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Databricks, Snowflake, and/or similar data analytics platforms Knowledge of human musculoskeletal anatomy Experience developing human pose estimation and biomechanics models Experience in musculoskeletal
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seminars focused on health policy and statistical methods for causal inference, access to diverse national data sources, and analytic support. Based on interests identified at the time of application
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) for more information about the project’s rationale and recent outputs. Role Summary The successful candidate will design and drive a high-level strategy to position DAWN’s findings on deep uncertainty in
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of effective & efficient healthcare interventions. You will design and deliver cost-effectiveness and budget impact analyses, analyse healthcare cost and outcomes data, and develop decision-analytic models
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systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a