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WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics Position ID: 2306 -RAP4 [#26820, 25/14] Position Title: Position Location: Berlin, Berlin 10117, Germany [map ] Appl Deadline
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design based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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recover from disruptions, as well as the risk of cascading interactions between them. Key responsibilities: analysis of the planetary-scale resilience and stability of the Earth system (its capacity
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
disseminate reliable results. Science-based decision-making is key to overcoming political obstacles and advancing MPA proposals that will secure the long-term protection of the Southern Ocean in a rapidly
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or a related discipline A solid background in climate and atmospheric sciences, and extreme weather ideally supported by knowledge of machine learning and time series analysis is of advantage, as is
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recover from disruptions, as well as the risk of cascading interactions between them. Key responsibilities: analysis of the planetary-scale resilience and stability of the Earth system (its capacity
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis