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along the entire semiconductor value chain and on tailer-made synthetic diamonds. Whether high-frequency circuits for communications technology, voltage converter modules for electromobility, laser
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combine computer simulations and machine leaning models to extend their compatibility with problems from mechanical engineering and materials research that could not be addressed so far due to their high
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
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operation, and system reliability. As part of this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device
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into electricity through innovative thermoelectric generators (TEGs) that perform efficiently even under small temperature differences (ΔT ≤ 30 K), we aim to redefine how IoT devices are powered. This research has
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to physical mechanisms of grain growth. Key responsibilities include: Implementing and optimizing segmentation pipelines based on MatSAM and other vision foundation models for high-resolution TEM video frames
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maintenance and repair of this equipment pool to ensure smooth operation. Furthermore, you will expand and develop the equipment in consultation with the scientific community to guarantee that it remains state
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materials, we seek a Ph.D. STUDENT for high performance lithium-ion battery electrodes (F/M/D). Desired starting date: July 1st , 2025 (or sooner), salary level E13 TV-L 60%, contract limited to three years
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co-culture and incubation experiments Perform sample analyses using the tools listed above Carry out computational data analyses Prepare manuscripts for submission to peer-reviewed journals We