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motivated and organized researcher with the following qualifications:Responsibilities*Explore, collect, and preprocess various sources to develop domain LLM training and test datasets*Design and implement
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of individual assets that underpin most proposed energy transitions. These models will be used to design and test policy and investment interventions to alleviate deployment bottlenecks.The successful candidate
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: Responsibilities *Explore, collect, and preprocess various sources to develop domain LLM training and test datasets *Design and implement fine tuning and RAG workflows for LLMs on a variety of datasets *Maintain
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. These models will be used to design and test policy and investment interventions to alleviate deployment bottlenecks. The successful candidate will have experience with applied energy systems analysis, economy
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the development and testing of new materials. The work will involve reactor design and setup with gas flow capability and process optimization. Qualified candidates should have a Ph.D. in chemistry, physics
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defined research and laboratory tests and experiments according to prescribed protocols and assigned schedules and developing/documenting new laboratory protocols. All these activities should be done in
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on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models
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fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art technical or methodological skills, applying innovative techniques in the examination
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of existing and novel materials, extensive ex situ (and some in situ) characterization of synthesized materials by materials evaluation tools, and guiding the development and testing of new materials. The work