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their reliability and resource efficiency during production and operation. The »KI-unterstütze Simulation« team combines physically based simulation approaches with efficient and advanced mathematical algorithms and
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inorganic sensors, optical filters and flexible OLED lighting. Our fields of work are subdivided into 7 business units based on the different materials and geometries being processed and due to special
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manufactured structures using SEM, EDX, and XRD You will evaluate the properties of component surfaces and geometry You will prepare and present the results What you bring to the table You are studying
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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
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on the Part Scale. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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1 Sep 2025 Job Information Organisation/Company Leuphana University Lüneburg Research Field Information science Technology Engineering Researcher Profile First Stage Researcher (R1) Positions Master
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numerical groundwater models Calibrate empirical models of submarine groundwater discharge and STE geometries and extrapolate them to the global scale Present and publish results in scientific journals
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The Department of Earth Sciences has been offering a new international Master's degree programme "Planetary Sciences and Space Exploration" since the winter semester 2022/23. A tutor position
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is