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to their spin properties. What you will do You will program the connection of quantum experiments to an existing HPC system for the external execution of quantum algorithms. You will develop an efficient user
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will also contribute to the development of new data processing algorithms. Furthermore, you will develop new research ideas, submit research proposals, publish your results in scientific journals, and
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problems Evaluation and advancement of methods for the robustness certification of neural networks with deterministic or stochastic methods Adaptation of near-team and fault-tolerant algorithms for quantum
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of Algorithms and Methods in Data Science, endowed by the Dieter Schwarz Foundation, are to be established. The positions are W2 fixed-term positions (6 years) with tenure track option to tenured W3 positions
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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
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into account various parameters. To this end, a concept is developed, various mathematical models and Machine Learning algorithms are selected and then tested and evaluated within a company environment. What you
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of the datafication and algorithmization of society, culture, and human knowledge in the age of AI. You will play an active role in developing an innovative departmental profile. At the same time, we offer you a
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system requires effective orchestration that can schedule the application on these systems. While traditional scheduling algorithms exist, these do not focus on the energy footprint of applications
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relevant algorithms Perform tests on available simulation models Evaluate and document the results What you bring to the table You are close to completing a master's in electrical engineering, computer
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the opportunities and challenges of the datafication and algorithmization of society, culture, and human knowledge in the age of AI. You will play an active role in developing an innovative departmental profile