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Field
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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optimizing treatment processes that use calcium carbonate-rich materials extracted from phosphate mine waste. These materials will be assessed for their capacity to neutralize acid gases (SOx, HF) emitted from
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic
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of expression systems Metabolic flux analysis for pathway characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution
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bottlenecks and optimization strategies. The digital twin will serve as a testbed for evaluating engineering trade-offs and guiding future hardware development. The appointed researcher will collaborate with
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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in heterogeneous integration. Other related functions as assigned. Required Qualifications A PhD received within the last 3 years in Electrical and/or Computer Engineering or a closely related
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Your Job: Develop and refine detailed models of power electronics and their control systems for stationary battery storage applications Focus on system identification and parameter optimization