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. Individuals with expertise in relevant modeling methods are encouraged to apply, including but not limited to integrated assessment modeling, energy system modeling, climate and air quality modeling, and agent
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-system decarbonization studies aiming to inform policy and investment decision-making are sought. Applicants will have or expect to have an engineering PhD, or equivalent degree and experience in a
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models, programming, and quantitative methods. Preferred qualifications include experience in reinforcement learning, neural networks, and/or statistics. Questions can be addressed to Professor Nathaniel
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performance and continued funding; those hired at more senior ranks may have multi-year appointments. Candidates must have a PhD in Computer Science or a related field. For full consideration, we recommend
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leverage these findings for bioengineering applications. Candidates completing (i.e., with a confirmed defense/viva date) or holding a PhD in chemical engineering, physics, bioengineering, chemistry, or a
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position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
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-system decarbonization studies aiming to inform policy and investment decision-making are sought. Applicants will have or expect to have an engineering PhD, or equivalent degree and experience in a
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. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong
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meetings. A PhD is required in a related field (e.g., demography, sociology, economics, epidemiology). Salary and full employee benefits are offered in accordance with University guidelines. Applicants
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cells (i.e., formation of biomolecular condensates) and to leverage these findings for bioengineering applications. Candidates completing (i.e., with a confirmed defense/viva date) or holding a PhD in