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-agent reinforcement learning and generative agent simulations, and economic, political, and cultural evolutionary theory to explore the dynamics of normative systems and explore how to build AI systems
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statement in support of your application CV Copy of Graduate Transcript(s) Writing Sample Two Letters of Reference For more information on the Berman-Oxford GLIDE Post-doctoral Fellowship Program, please
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/simulations. Key responsibilities will include but are not limited to: - Developing novel machine learning algorithms for the prediction of physical and chemical properties, infrared and mass spectra
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simulation models of existing test structure geometries to enable simulation and optimization for specific PIC platforms Investigate methods to optimize test structure designs for more robust determination of
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to 100 GHz, using custom and commercial test fixtures. Develop and simulate computational models of material-loaded microelectronic devices to quantify electric, acoustic, and piezoelectric fields for a
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-earthquake assessment and decision-making for structural engineers. - Conduct nonlinear dynamic analyses and consequence modeling across a suite of steel building archetypes to demonstrate the real
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co-design activities, such as policy simulations, design sprints, and tabletop convenings that bring together stakeholders across sectors to identify policy gaps, opportunities, and collaborative
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dynamic and knowledgeable AI Policy Researcher to support the ongoing work she is undertaking in the fields of AI safety and governance through knowledge translation, policy research and analysis, and
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and instrumentation. Familiarity with design and simulation tools like SolidWorks, Autodesk Inventor, MuMax, OOMMFi COMSOL, or similar. Familiarity with the programming languages Python, Matlab