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Field
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combining technology development with process modelling and assessment across the waste value chain. The members of the consortium include 4 other research Universities, 2 Universities of Applied Sciences
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, you will develop analytical and numerical models describing the quantum dynamics of mechanical systems and their interactions with complex environments. Building on these models, you will investigate
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implemented in a real breeding context. Apply advanced genetic and bioinformatic tools to build a predictive model of how environmental conditions, in the context of climate change, affect yield and yield
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relevant for biodiversity, climate and justice; (2) Advancing future visioning methodologies by integration of qualitative scenarios, qualitative system models, and transformation theories; (3) Developing
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? The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium
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at the commuting-zone level to analyse impacts on employment dynamics, wages, worker mobility, and regional divergence, as well as evaluating whether the diffusion of large language models (LLMs) is itself reshaping
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Scientific Research Career, within the scope of the REAGRY: Agroecologycal Transitions Rootted in Tradition for Climate Resilience (Ref. 2024.18546.AGROECOLOG), financed by Fundação para a Ciência e a
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to translate fundamental discoveries into sustainable agricultural applications and to enhance the climate resilience of crops. This PhD position will be embedded in the Bioinformatics and Evolutionary Genomics
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of geosciences. As part of the Helmholtz Association, Germany's largest research organisation, we address global challenges such as natural hazards, climate change and the sustainable use of resources. In doing so
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expected to grow as climate change intensifies. While chemical damp-proofing treatments are among the most widely used solutions to tackle rising damp, their effectiveness remains inconsistent and poorly