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. Daniel Merkle. The overall research project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the design of microbial communities, ultimately
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to develop new methods. The proteomics data will be used in combination with protein structure predictions and functional studies to understand the structure, function, and assemble of multimeric protein
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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and
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. Cox. The position is available starting 1 December 2025. The successful candidates will work on developing new theoretical models and computational methods to investigate the emergence and properties
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hours local Danish time Research project Obesity is a major risk factor for a range of metabolic complications, including metabolic-associated steatotic liver disease (MASLD) and coronary artery disease
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that respond to real-time electricity inputs and operational constraints. Key Research Objectives: Experimental Research on Electrolyzers: Design, operate, and analyze lab-scale Alkaline and PEM electrolyzers
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Prof. Daniel Merkle. The overall research project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the design of microbial communities
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power electronics devices. Design methods: Develop novel design methods for power electronic converters involving advanced optimization methods Simulation: Learn advanced simulation tools such as Ansys
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algorithm. Design methods: Develop novel control methods for power electronic converters feeding electric machine Simulation: Learn advanced simulation tools such as Ansys to simulate and analyze the effect
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research in the field of modern high voltage polymer electrolytic capacitors, develop models for lifetime prediction, methods to predict and test for reliability, understand physics of failures at elevated