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and the Environment invites applications for postdoctoral researchers or more senior research positions. Individuals interested in systems-level analysis of challenges to deep decarbonization
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) Realistic energy transition pathways: Incorporate political economy insights into energy system modeling to better represent social and political realities; (2) Health effects of deep decarbonization
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modeling, deep learning/computer vision, time-lapse cameras and hummingbird behavior. Required qualifications: *A PhD in biology, genetics, physics, computer science or a related field *A very strong
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., deep learning, generative modeling, probabilistic modeling, embedding techniques). Domain knowledge related to soft materials or polymer physics is also of interest. Princeton University is committed
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genomics/transcriptomics. 4) Dynamics of hummingbird-plant interactions. We seek applicants with a strong background in community ecology, statistical modeling, deep learning/computer vision, time-lapse