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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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you will design the next generation of energy-efficient digital integrated circuits, taking them from RTL to a fabricated chip and PCB that you measure in our own labs. The position is part of
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to artifacts such as non specific absorption, parasitic reactions, or diffusion based resolution loss. In this project, we will design and control a surface modifcaiton process based on a double, photo
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project, an interdisciplinary and transdisciplinary research project funded by NWO, the Netherlands Research Council, under the call on KIC Consumer behaviour for a circular system transition. See: https
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design of complex physical systems. The group is jointly embedded at Saarland University and DFKI in Saarbrücken. Current Research Directions include: AI for scientific computing – neural operators and
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. However, it is an open question how these technologies should be designed and tailored to the highly diverse, dynamic, and individualized needs of people with disabilities. In this PhD project, you will
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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of artificial intelligence and consumer behavior. • Designing, developing, and evaluating artificial intelligence (AI)-based techniques and algorithms related to consumer behavior and manipulative online
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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reaching or has exceeded its design lifetime while being exposed to harsher operational conditions than originally designed for. Fatigue, where repetitive loads initiate and propagate cracks, is a key