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or more of the following: data-driven logistics/supply chain, supply chain analytics, experimental methods, statistical analysis and probability, and/or machine learning/artificial intelligence
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and particularly electrodialysis, chemical processes design and modeling, technoeconomic analysis, water treatment, and analytical methods for characterization of aqueous solutions; excellent problem
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
, Operations Management, or a closely related field; demonstrated research expertise in one or more of the following: optimization, simulation, data analytics, machine learning, artificial intelligence
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a curious, motivated postdoctoral researcher to join our research lab at the Rowland Institute at Harvard. Our research is primarily in physical/analytical chemistry and is strongly interdisciplinary
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Medicaid and/or Medicare data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve serving as an author on selected
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October 2026 or as soon as possible thereafter. The pathways and aims of this research are to build historical and analytical perspectives on welfare in relation to shifts in democracy and statecraft
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Medicaid and/or Medicare data, a deep understanding of analytical methods and statistics, and advanced programming skills are therefore desired. The role will also involve serving as an author on selected
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
(awarded within two years); PREFERRED: Demonstrated experience in data analytics, experimental design, and community engagement; strong project management and communication skills; and field-based research
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
and flexible model linkages, feedbacks, coupling); or advancing and applying individual/coupled model components to provide actionable information to advance energy and decarbonization planning. Will be
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and flexible model linkages, feedbacks, coupling); or advancing and applying individual/coupled model components to provide actionable information to advance energy and decarbonization planning. Will be