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support research activities in power system resilience optimization and asset health modelling. The role focuses on developing data-driven and physics-informed analytical models to enhance reliability, risk
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and non-traditional technology providers. As national security priorities, acquisition models, and innovation cycles evolve, SEI must continue to adapt its posture, pace, and external engagement while
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Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-PHYSICS [#31836] Position Title: Position Type: Postdoctoral Position Location
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Senior Computational Biology Scientist in AI Protein Structure Prediction and Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines
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. The TTS supports organisations as they progress through Technology Readiness Levels (TRLs), offering short-term technical assistance and ongoing engagement models. As a first-of-its-kind initiative in
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platform strategy, network effects, or digital business models Experience with vertical integration strategies in technology or platform businesses Track record in repositioning companies from marketplace to
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models have driven significant advances in Artificial Intelligence. Polymathic AI seeks to leverage these ideas to develop the next generation of AI-powered scientific analysis tools, seeking more powerful
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., hydrogels, polymers, structured tissues), with applications in biomedical engineering, soft robotics, and more broadly in adaptive multiphysics systems. The developed models will be physically based and will
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Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-MATH [#31838] Position Title: Position Type: Postdoctoral Position Location
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Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-EECS [#31837] Position Title: Position Type: Postdoctoral Position Location