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Research Associate to support research activities in additive manufacturing, computational design, biomaterials, and biomedical engineering. The role will focus on the design, fabrication, optimization, and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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for data processing and distributed workloads. Optimize PostgreSQL performance, backups, and reliability. Improve monitoring, logging, deployment, and production reliability. Contribute to backend services
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
encompass developing program data collection methods, analyzing metrics to optimize outcomes, managing participant records and onboarding, and contributing to program strategic planning. Will assist with
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layer for gene expression control and numerous other processes in the cell. In this context, individual and combinatorial modifications guide spatiotemporal recruitment of regulatory factors to specific
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community. Working under the AI/ML Support Team Lead, this role focuses on developing and optimizing Generative AI models, maintaining computational benchmarks, and providing expert consultation
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, Operations Research, or a closely related field by the start date of the appointment Required Related Experience Candidates must demonstrate deep technical proficiency in fields such as network optimization
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, with expertise in dynamic/data-driven modeling, optimization, Aspen, COMSOL, or CFD b. Techno-economic analysis (TEA) & life-cycle assessment (LCA) for chemical, energy, or biomanufacturing processes
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, and optimize multimaterial LPBF processes, integrating in-situ monitoring, process parameters, material combinations, and resulting microstructural and structural outcomes. Design and optimize