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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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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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the establishment and optimization of standard operating protocols, making them available in a standardized manner within the internal electronic lab book environment (“Wiki”) Supporting team members 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 | 17 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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persons will be given preference if equally qualified. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that optimally promote their abilities
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of innovative products. We develop new machines and machining strategies on behalf of our customers, optimize existing production facilities, and implement future-oriented tool concepts. Our core competencies
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strategies on behalf of our customers, optimize existing production facilities, and implement future-oriented tool concepts. Our core competencies include machining technology, precision machining, cleaning
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reference data, and explore how different stack and channel designs affect shunt current distribution. Ultimately, the results should contribute to optimizing cell and stack configurations for minimal energy