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a techno-economic analysis, you will evaluate the planned data center. The innovative technological concept for optimizing computing power integrates both batteries and the use of hydrogen
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to advancing ion-beam therapy by improving treatment precision and effectiveness. Our research focuses on optimizing dosimetry, enhancing beam conformity, and exploring novel irradiation approaches, such as
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Spatially fractionated Treatment Optimization) we are offering a PhD student position (all genders) – (part time 65%) Posting-ID 26.125 – 1530 While conventional therapeutic beam applications typically aim
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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and its supporting infrastructure • realize on-chip pulsed DNP • design microwave pulse sequences for on-chip DNP using spin physics, numerical simulation tools, and quantum optimal control
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includes system operation, continued development, and performance optimization. The successful candidate will collaborate closely with the quantum metrology group at the University of Bonn and the geodetic
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electron diffraction, imaging and spectroscopy, in collaboration with colleagues performing material syntheis and complementary measurements at partner locations in France and Germany. Optimizing electron
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instruction at BAGSS is English. You can write and defend your thesis in English or in German. Excellent Conditions Our aim is to create an optimal research environment for doctoral researchers and to provide
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight