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background in molecular medicine or immunology. Experience with flow cytometry and animal models is a prerequisite, while basic understanding of extracellular vesicles will be an advantage. Research
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research, e.g., sparse data analysis, generative models, batch correction and multi-sample/-modal data integration, etc. Experience extending and fine-tuning DNN models for novel tasks Experience with a
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the context of an advanced electric actuator. The candidate will evaluate existing research and commercial solutions, propose new methods, and potentially develop domain-specific models and toolkits to address
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
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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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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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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The successful candidates should have excellent grades, strong mathematical and simulation
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-resolved micro and nano CT data. Develop and apply numerical implementations in simulation studies as well as to large experimental micro and nano CT data. Explore multi-modality reconstruction techniques
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employ advanced molecular microbiology techniques, including transposon mutagenesis, transcriptomics, lipidomics, and infection models, to uncover how Listeria senses and responds to LC-PUFAs. The ideal