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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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research collaborations. Proven expertise in designing, developing, and optimizing biological assays is essential. We value independent researchers with experience in translating basic science into clinical
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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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, system identification, and/or optimization. Candidates are expected to hold an academic background in civil, electrical, or mechanical engineering, with a preferred focus on structural dynamics, signal
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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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of scanning workflows and optimization of acquisition parameters. Prepare documentation, figures, and short reports summarizing experimental outcomes. Qualifications Experience with data analysis, signal/image