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-driven society—and who gets left behind? What are the rules that govern the development and deployment of Generative AI different sectors of society, and towards what kind of society will they steer us? Is
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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years, pending satisfactory performance in annual reviews. Preferred Qualifications: Experience with cosmological codes, python, and/or C/C++ Applicant Instructions Applicants should be prepared to upload
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 9 hours ago
effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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selected candidate will investigate how aerosols influence cirrus clouds from regional to hemispheric scales. The work will involve implementing and testing different ice nucleation schemes in regional
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://netzeroamerica.princeton.edu/the-report) that developed uniquely-granular spatial, temporal, sectoral, technological, and socio-economic analyses to vividly describe at politically and societally relevant scales different
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
different policies on market outcomes, such as EV subsidies, domestic content requirements, trade policies, amongst others. Recent PhD in Economics (or related discipline) with a clear interest in mining and
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foundation of democratic states. Currently, AGR and UCLouvain own a large number of digitized and digital-born documents from a wide variety of sources from different periods. This diversity offers a challenge
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reshaping epistemic norms and practices across the sciences. This is a one-year FY position beginning August 2026 to August 2027. Unlike previous domain-specific technologies, contemporary AI systems