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Workplace Type: On Site Required Sponsorship Eligibility: Not eligible for visa sponsorship Pay Band: 06 Salary: Salary commensurate with education and experience Criminal Background Check: Yes About the
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running automated models to support analysis and decision-making. Working within an established technical environment, the Data Scientist helps improve existing models and supports the development and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 22 days ago
will work Christopher Knittel (Sloan School of Management and CEEPR). The project will develop empirical models of supply, demand, and international trade conditions for minerals required for the energy
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-edge genome engineering tools and in vivo disease models to address fundamental and translational questions in disease biology. Opportunities for cross-disciplinary collaboration with leading experts in
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Research Associate to join a research team advancing the modelling, control, and real‑time validation of power‑electronics‑dominated power systems. This role supports the ARC Discovery Project “Making weak
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LES resolved wake dynamics and the coupling to aero-elastic models and wind turbine control. You will be a member of the Fluid and Offshore Mechanics section, which has a strong track record in offshore
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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uncertainty, including the interaction between assets, markets, grids, and policy constraints Stochastic optimisation and dynamic decision models for operational strategies (e.g., maintenance planning, market
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emerging trends for use in course development. Knowledge of Shareable Content Object Reference Model (SCORM), and 508 Accessibility requirements to ensure compliance. Ability to communicate in writing in a
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, One Medicine approach involving both dogs and humans, and to develop and characterize new, fit-for-purpose, 3D in vitro models for studying sarcomas across species. The research will focus specifically