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however require a significant measurement effort to be estimated, especially in the high-precision regime relevant for fault-tolerant quantum computing. You will investigate recent advances in
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Schmidt University, and Hamburg University of Applied Sciences Teaching language English Languages All relevant courses are held in English. Programme duration 6 semesters Beginning Only for doctoral
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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creating reference test cases for comparative evaluation of new methods and algorithms. We are seeking a Research Associate specializing in Machine Learning to contribute to the digital analysis and
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algorithms model major sources of experimental error for control theory or co-design methods Previous works can be found under the bibliographies of Dr. Felix Motzoi and and Dr. Matthias Müller: https
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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for the recognition, classification and characterisation of images in a wide range of dimensions, wavelengths and resolutions. Background: In computer graphics, accurately modeling and controlling structural elements
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on highly relevant and practical research projects and experience interdisciplinary research at the forefront of technological innovation. With access to state-of-the-art computing resources, simulations, and
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rates). Apply CSMCA to refine GEM predictions and enhance the accuracy of biogas process optimization, particularly in methanogenesis and other key metabolic pathways Employ machine learning algorithms
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”. The “Computational Methods” group focuses on the design and simulation of laser beam sources and laser processes, using numerical methods and modern artificial intelligence algorithms. To strengthen the team, we