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Future. Discover. Together. The introduction of AI applications places high demands on optical connections in data centers. In addition to the approach of fewer parallel channels with very high data
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MVPs (Minimum Viable Products) and scalable systems. Execution of technology testing and validation processes to ensure market readiness. Interdisciplinary collaboration: Partnering with Product Venture
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Your Job: Contribute to the design, implementation, and documentation of software solutions for the planning and operation of integrated energy systems Contribute to the development and maintenance
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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the case of challenging environmental conditions, the method of multi-scale parallel single-pixel imaging has the potential to enable breakthrough advances. The “image processing and AI” group contributes
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through stable, accessible, and high-performance data infrastructure. What you will bring (position requirements) Master’s degree in information technology, applied computer science or computer engineering
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16.02.2026 Application deadline : 15.03.2026 The Collaborative Research Center (CRC) 1233 “Robust Vision” brings together leading researchers in machine learning, computer vision, and systems
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systems based on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal