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Field
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Weather and climate prediction are undergoing a profound transformation. Alongside traditional physics-based forecast systems, machine-learned (ML) weather prediction models, hybrid ML-physics
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-lead annual community workshops, among other leadership opportunities. Emphasis will be placed on developing community resources that make climate-proxy research more transparent, reproducible, and
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facing our world today. Drawing together a unique cohort of scholars, the Department includes expertise in the physical and social science dimensions of climate change, water, urban sustainability, risk
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science, etc.) or in computational social science. An interest in problems related to climate, sustainability, energy, and/or labor economics. Ability and/or desire to work in a team/lab setting. Fluent in
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | 2 months ago
The climate needs bright minds. The Potsdam Institute for Climate Impact Research (PIK) addresses crucial scientific questions in the fields of global change, climate impacts and sustainable
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-lead a research project in collaboration with researchers at the Environmental Defense Fund on understanding the climate consequences of hydrogen (H2) production and emissions to help produce marginal
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, transnational, comparative, and global issues, and collaborate with faculty and graduate students. Areas of interest include global challenges such as climate adaptation, environmental degradation, artificial
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programmes, helping breeders make more informed and representative decisions, accelerate crop improvement, and strengthen food security and climate resilience across the Global South. The successful candidate
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more informed and representative decisions, accelerate crop improvement, and strengthen food security and climate resilience across the Global South. The successful candidate will join the Biometrics
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle