7,500 parallel-computing-numerical-methods "Institute of Computer Science" Postdoctoral positions
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other stakeholders to advance climate solutions. Initial areas of focus include extreme heat resilience and green steel production. Will prepare technical briefs, research roadmaps, and recommendations
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/1qx5sh5sxjki1ivmnqvbr/JHM_PDA_092826.pdf?rlkey=tjei3tmocexxesccofble867f&st=og3o855s&dl=0 REQUIRED : PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with
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. in Computer Science or other related field required. 2. Advanced quantitative methods training with expertise in experiments, identification, and causal inference required. Qualitative
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policy, political science, computer science, or a related field; a demonstrated track record of conducting research in partnership with charter schools and/or major US school districts; and strong
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interest. REQUIRED : A Ph.D. in Computer Science or another related field defended and completed by the start date of the position, which is no later than September 1, 2026; advanced quantitative
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, Anthropology, History, Economics, Psychology, Computer Science, or a related field, earned after September 1, 2024, and exceptional scholarly achievement and promise for policy-relevant research in international
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Cambridge, Massachusetts, POSTDOCTORAL ASSOCIATE , Civil and Environmental Engineering , will carry out research to develop methods to estimate the economic and environmental impact of pavements and
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2026-2027 to conduct research with the Laboratory for Innovation Science at Harvard ( LISH ). The Institute brings together academic researchers and practitioners to study how AI reshapes business and
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Algorithms, Data, and Market Design (CADMY) is a cross-university center that seeks to support and further research at the intersection of Computer Science, Data Science, and
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project at King’s on quantum algorithms and numerical methods for many-body dynamics beyond the reach of standard classical simulation. About the role We have a high preference for a candidates who is