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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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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
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time is to be minimized by developing a robot ensemble for parallelized polishing as well as surface roughness and shape characterization. The »3D Sensors« group contributes to this goal by developing a
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Secihti call and go through a parallel application process. Please see Ciencias y Humanidades archivos - Secihti for further information on their selection process. Please note that Secihti will publish
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compatibility that will be used to rapidly evaluate the generality of key reactions. Key reactions showing a promising generality profile will then be subjected to a reoptimization process. This is necessary
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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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, parallel processing and hardware-oriented applications and optimisations as well as operating systems. The project will be carried out in close cooperation with Audi in Ingolstadt and Neckarsulm, aiming
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program generation and optimization Verification, testing and security of software systems Explainability of AI and of software engineering Software for distributed, highly-parallel AI systems Intelligent