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aim to bring quantum photonics to life and shape the future of quantum technology. This fellowship provides optimal conditions to conduct groundbreaking preliminary research, preparing for an ERC
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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you a versatile platform to take the next step in your career! Join our team in the development of quantum components and the optimization of our manufacturing processes – as soon as possible. What you
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are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
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of a reaction chamber into a laboratory PDF diffractometer, including the optimization of measurement protocols and combined mass spectrometry, possibly exploiting ML / AI approaches for data collection
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you a versatile platform to take the next step in your career! Join our team in the development of quantum components and the optimization of our manufacturing processes – as soon as possible. What you
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benefits are in accordance with the German public sector scale, TV-L E13. Your Qualification: Strong mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). Master's
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Your Job: Develop techniques to simulate, control, and optimize the time-dependent dynamics for increasing system complexities Implement and optimize small quantum circuits on super- and semi
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specific transcription factors using targeted mRNA delivery technologies, with the vision of enhancing responsiveness to immune checkpoint inhibitors. Key Responsibilities: Design, execute, and optimize
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description: You will have the following tasks: Development and optimization of micromanipulators and automated systems for microbiopsy together with the PhD student Integration of microbiopsy system into soft