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reversible CO2 heat pumps. Development and demonstration of an energy optimizing algorithm for reversible CO2 heat pumps (with and without ejector): (i) Use of the previously implemented simulation model
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project with Lex – Denmark’s National Encyclopedia, and the Danish National Research Foundation’s TEXT Center. Position Summary The successful candidate will work on alignment, preference optimization, and
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designing, optimizing, and demonstrating an integrated MD–PEM system. The position will focus on tailoring operational parameters for both processes to achieve stable, high-efficiency hydrogen production from
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purification, and enzyme characterization, with the goal of understanding and optimizing enzymatic systems for lignin modification and valorization. This position lies at the dynamic interface between
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components modelling, optimization, and integration to achieve high-efficiency and high-power-density converters for various power electronics applications. We need a professor in Power Magnetics to strengthen
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: Utilize Python, R, SQL, and containerization (Docker, Kubernetes) to run data ingestion and processing within automated data pipelines Optimize data processing workflows, reducing manual intervention
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, etc. has significant experience with disseminating and making own professional competencies visible in broad societal circles aiming to optimize the impact of the research and the educations. This will
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of scanning workflows and optimization of acquisition parameters. Prepare documentation, figures, and short reports summarizing experimental outcomes. Qualifications Experience with data analysis, signal/image