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CO₂ capture technologies. The announced postdoc position is part of a work package dedicated to algorithms and thermodynamic models, where the primary task is to develop RAND‐based CO2 capture
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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functionality of the legume-rhizobia symbiosis in model and crop plants. This position is a part of a collaborative project “Increasing Symbiotic Nitrogen Fixation via Cytoplasmic Signalling Modulation,” which is
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. The Postdoc will conduct research on methods to enhance the performance, safety, and lifetime of lithium-ion batteries by integrating physics-based modeling with data-driven approaches. The work will include
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, mechanical and durability testing, and integration with advanced machine learning models. The postdoc will collaborate closely with CEBE’s parallel work packages. Experimental and analytical data generated in
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has gathered detailed data on the effects of contaminants on marine mammals over the last three decades, combining a variety of methods including PBPK modelling, TWI evaluations, mass balances, risk
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Denmark in the last 10 years. The position is covered by the “Memorandum on Job Structure for Academic Staff at the Universities” from 2025. Questions For further information, please get in touch with
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Efficiency. The postdocs will be positioned in the section for Applied Power Electronic Systems. The research area will be within the modeling and design optimization of power converters based on digital twin
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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The Department of Biological Chemical Engineering, Aarhus University, invites applicants for a 24 month research assistant or postdoc position within the field of Carbon Capture and Utilization