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contribute to developing new theoretical, historical, and practice-based insights on how heritage preservation and urban development interact in creating (or addressing) spatial inequalities in African and
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, and thermal reactions. Research endeavors at CBS blend deep molecular insights with practical applications, aiming to introduce novel, efficient, and sustainable alternatives. CBS is seeking a dedicated
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in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course
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Qualities: Ability to conduct interdisciplinary research and propose innovative solutions to urban health challenges. Skill in transforming complex data into actionable insights for research and decision
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data into actionable insights for research and decision-making. Experience working in multidisciplinary teams. Track record of high-level scientific publications and presentations at international
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recommendations. Personal and Organizational Qualities: Strong ability to interpret complex data and draw meaningful conclusions. Aptitude for translating complex data into actionable insights for research and
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Ability to transform complex data into actionable insights for research and decision-making. Strong capacity to work within multidisciplinary teams, including urban planners, technologists, and hydrology
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solutions. Skill in translating complex data into actionable insights for research and decision-making. Proven capacity to work effectively in multidisciplinary teams, including urban planners, technologists
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
metabolomics) to achieve systems-level insights into disease mechanisms. Identification and validation of clinically relevant metabolic biomarkers for early disease detection, prognosis, and treatment response