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Field
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topics in semiconductor technology and power electronics. The mission of the department »Modellierung und künstliche Intelligenz« is to optimize processes, components and systems, including
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under small temperature gradients (ΔT ≤ 30 K). Design and Optimize novel fabrication techniques to achieve high packing densities in thermoelectric generators (TEGs) for powering IoT sensor networks
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apply your knowledge in practice alongside your studies Attractive framework conditions: Flexible working hours to optimize the compatibility of study and practice If you are interested in putting your
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experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene editing protocols for ELANE for therapeutic use Evaluate safety, efficacy, leukemogenicity and off-target effects
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these proteins in probiotic bacteria and experimentally test their activity Optimize protein designs based on experimental results Develop bacterial biosensors of intra- and extra-cellular analytes Active
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automatic code optimization. The selected candidate will be able to work on cutting-edge innovations, leveraging the ample and interdisciplinary expertise of the REACT partners. The candidate will also profit
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to physical mechanisms of grain growth. Key responsibilities include: Implementing and optimizing segmentation pipelines based on MatSAM and other vision foundation models for high-resolution TEM video frames
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should demonstrate strong experience in optimizing neural networks through quantization, error modeling, and co-training techniques that consider real-world hardware imperfections. What you will do Develop
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Your Job: In modern energy systems engineering, the detailed modeling and optimization of fuel cell technologies is a key area of innovation, particularly for applications demanding high efficiency
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Munich GmbH we started a joint project to build optimization and simulation models for the operations of Terminal 2 of Munich Airport. The joint target is to derive tactical and strategic evolutions