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classical calibration pipelines, including camera models, calibration targets, and algorithms, followed by an overview of our in-house specialized methods. In parallel, you will work in experimental setups
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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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standards for the use (and development of policy around) AI in disaster management. In parallel, Fraunhofer HHI is contributing to the Working Group on Digital Transformation for Hydrology and Water Resources
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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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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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-cell aging remain poorly understood. Previous research suggests that mitochondrial oxidative phosphorylation (OXPHOS) and other key metabolic processes influence T-cell fate decisions. Targeting