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energy system optimization models including, e.g., reservoir productivity predictions, novel surface processes for CRM extraction, CO₂ reinjection, and reconversion of decommissioned oil wells Economic
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried out within the DFG Priority Programme “DaMic - Data-driven Alloy and
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drones and process data of multispectral, thermal and LiDAR sensors Implement approaches to integrate drone data into an existing agroecosystem data assimilation framework Use radiative transfer models
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Participation in project meetings Coordination with internal and external project partners Publication and presentation of research results in relevant journals or at international conferences Your Profile
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engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage High motivation to complete the doctorate within three years Very good
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techniques to study degradation processes, including electrocatalyst dissolution Mechanistic understanding of catalyst degradation processes in PEM, AEM, and alkaline water electrolysis Implementation of AI
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://www.sustainable-pv.de The aim of the project is the integration and selective detachment of ultra-thin layers in solar cells for better recycling, as well as the development of controllable processes
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of membrane electrode assemblies prior to, during, and after cell operation Participation in project meetings Coordination with internal and external project partners Publication and presentation of research
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to study soil-vegetation-atmosphere interactions. Your main responsibilities will include: Fly drones and process data of multispectral, thermal and LiDAR sensors Implement approaches to integrate drone data