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Field
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-conflict regions Collecting, managing, and analysing socioeconomic and geo-referenced datasets using quantitative and econometric methods Contributing to longitudinal survey analysis, policy evaluation, and
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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the KDSC Data Engineer. Required Qualifications A PhD in economics, public policy, political science, geography, sociology, or demography, with an emphasis on quantitative methods. Experience with
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from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close collaboration with societal partners. Within
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and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern
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uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and tumorigenesis. The Zhivagui
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EXPERIENCE in: Scientific/Academic writing Research methodology (Quant or Mixed Methods) Experience with statistical software (e.g., R, Mplus, SPSS, etc.) Credentials must be obtained prior to the start date
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-novation, value creation, stakeholder engagement, and the development and validation of methods and tools for circular transitions. Your Profile We are looking for a candidate who has: A PhD degree in Design
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an initial 3–6 months period in the lab at its currentlocation in New York City. This temporary placement will provide an opportunity to receive hands-on training in the methods important for the research
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excellent communication skills and organization. The laboratory uses immunological methods, molecular biology, cellular biochemistry, redox biology, murine models, imaging, and flow cytometry to discover and