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Design to help build and translate AI‑driven capabilities for biologics design and protein engineering. The role combines protein structural insight with hands‑on ML development: adapting and applying
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. Ensure quality data and integrated systems are available to support data driven decision making and enable personalised and contextualised services. Simple and secure technology foundations. Ensure
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Special Instructions to Applicants Please include a cover letter with application submission. This role follows a hybrid work model requiring incumbent to be based in the Los Angeles area. As
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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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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
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Massachusetts Institute of Technology, Open Learning Position ID: Massachusetts Institute of Technology-Open Learning-BUSADMIN [#31840] Position Title: Position Type: Postdoctoral Position Location
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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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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Associate Professor of Data-Driven Material Modeling (salary group W2
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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