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Field
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The past decades have been associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due
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associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due to their imperfect representation of ocean
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. Crop breeding plays a crucial role in addressing multiple worldwide most pressing challenges, including climate change, biodiversity loss, food and nutrition security, and the long-term competitiveness
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in climate change adaptation, human
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analysis, the effects of global climate change on mountain environments, the assessment of natural hazard dynamics, and, for each of these themes, the study of the impact of environmental variability
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
. For the working group “Impacts of climate change on human population dynamics” PIK is offering a Scientific Position (PhD or Postdoctoral level) (m/f/d)(Position number: 24-2026 Researcher Migration) in the field
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address challenges around maintaining a stable and liveable climate, securing and restoring biodiversity and the ecosystem services provided by nature, adapting to climate change, and reversing water
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science » Global change Researcher Profile First Stage Researcher (R1) Application Deadline 2 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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in transportation, the energy transition and sustainable reuse. Research themes include dynamics of structures, mechanics of materials related to e.g., climate change, modelling and design of railway
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data. Change: The CROPWAVES project will exploit satellite-based products for soil moisture and vegetation using data assimilation to improve global-scale crop and climate models at different resolutions