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Técnico (IST) Duration: 3 months Maximum Duration Including Renewals: 4 months Objectives The main objective of this scholarship is to support the development and application of an optimization model
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for Vehicle-to-Grid (V2G) systems based on electric vehicles and fuel cell vehicles (FCEVs), with the goal of optimizing the interaction between vehicles and the electrical grid. In particular, the research
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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to methanol. In the first phase, we will engineer PSI and redox enzymes for bioconjugation and optimize the self-assembly process. The stoichiometry will be optimized for efficient light driven reduction
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equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate and compare material intralogistics handling
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the optimal reading of magnetic information via non-linear effects. The project also foresees the integration of optimal working materials into functional nanodevices. The research to be performed will require
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EMR questionnaires as needed. Monitors clinic flow and supports optimal patient experience. Registers new patients; verifies and processes demographics, insurance, referrals, authorizations, and
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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering invites applications for a postdoctoral position in optimal motion planning and model predictive
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development in powder bed electron beam additive manufacturing (EB-PBF), with a focus on AI-driven process planning, heat simulation, and process optimization. The work includes developing physics-based AI
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 11 hours ago
Posting Description TECHNICAL ASSOCIATE I, Chung Lab – Picower Institute for Learning and Memory, will play a critical role in protocol development/optimization and data generation for a large NIH