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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 5 hours ago
the Centre for Climate and Energy Policy (CCEP) within the Crawford School and other relevant researchers at the Australian National University. In this role you will work within a team to help develop models
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value to industry partners. The Cluster adopts a student and industry centric model of business education, with the ultimate goal of delivering industry-relevant training. Additionally, the Cluster is a
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to staff position within a Research Infrastructure? No Offer Description About SLICE Space utilisation plays a crucial role in understanding climate change, but due to a drastic increase in launch
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therefore collaborate with colleagues in climate science, systems modelling, and policy analysis. Where to apply Website https://www.academictransfer.com/en/jobs/356362/phd-integrated-assessment-model
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stressors such as climate change. Both researchers with a more clinically oriented profile (e.g., research with patient groups) and researchers with a more fundamental profile (e.g., laboratory research with
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of risk models and decision-support tools for environmental health and climate resilience. Working closely with the PI to develop new research ideas, and to write up and present project proposals
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(https://www.polito.it/en/education/phd-programmes-and-postgraduate-school ) Desired skills: Knowledge in EcoDesign, climate sciences and life-cycle assessments Project management Knowledge of the host
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like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Are you interested in water management for sustainable agricultural landscapes subject to changing climate? We are looking for a
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for the mitigation of air pollution and climate change. This research supports the activities of the Climate and Clean Air Coalition (CCAC http://www.ccacoalition.org ), the World Economic Forum and the Clean Air
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between climate dynamics and marine biogeochemistry is also essential. The successful candidate will demonstrate proficiency in numerical modeling and statistical methodologies for interpreting in-situ and