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Your Job: Operando X-ray investigations of energy materials, with a focus on chemical hydrogen storage Design, development, and optimization of advanced sample environments and reactors for high
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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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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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such as transformers and reinforcement learning to play a key role in optimizing risk management strategies. What you will do You will work in an interdisciplinary team on innovative and exciting research
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What you will do You will develop, investigate and optimize processes for the realization of fiber preforms using MCVD technology as well as gas-phase or solution-doping techniques for active fibers
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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processes into existing large-scale plants. Our work ranges from conception and design to dimensioning, construction, commissioning, and optimization of plant operation. As an interface between science and
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integrate linear and circular processes, enabling used products to be transformed into new generations. What you will do Implement GPU-accelerated Gaussian Mixture Model (GMM) learning in PyTorch Optimize
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 16 days ago
Job Code: 2025-HiWi-Optimal Microscopy-2530 Job Offer from October 17, 2025 Dr. Michael Weber’s group (Max Planck Institute of Molecular Cell Biology and Genetics in Dresden) aims to develop
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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