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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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treatment, with extensive knowledge of experimental methods in both microbiology (e.g., bioinformatics) and wastewater biotechnology. Are skilled in the development and optimization of biological processes in
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machine learning, computational modelling, and advanced data analytics can accelerate not only the discovery, characterization, and optimization of materials but also project assessment and communication
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, bioactive compounds, and other key nutrients. Develop and apply machine learning and modeling techniques to analyse, predict, and optimize the effects of processing on food composition, food Ingredient