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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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carriers within defects. The charge transport will be implemented stochastically to mimic nature. A significant focus of the project will be to apply machine learning techniques to optimize the model and
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primary role will be to contribute to project tasks that demand a deep understanding of electrical or thermal energy system operation and dynamics, modelling approaches, and optimization methods. To excel
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implement optimal experimental approaches for molecular scale quantum sensing Co-supervise and guide younger project students at the BSc, MSc and PhD level Maintain a thriving laboratory culture, ensuring
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The aim of the project is to generate De novo enzymes to degrade PET from composite fibers from recycled textiles. The first-generation designs will be further optimized after experimental
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hubs. Control and optimization of power electronics for flexible port energy systems. Modeling, simulation, and experimental validation of port power conversion and electrification solutions. Integration
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Section for Computational and RNA Biology, Department of Biology, University of Copenhagen | Denmark | 2 months ago
experimental lab-work Documented experience in usage and preferably development or optimization of single cell methods Documented experience in preparation of high-throughput sequencing libraries, sequencing
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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learning techniques to optimize the model and enable charge transport simulations over 20 orders of magnitude in time. This comprehensive model will allow researchers to study the effects of crystal size