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-performance computing. It aims to improve the performance of the matrix-free finite-element-based framework HyTeG, in particular by techniques for data reduction through surrogate operators. Furthermore, we aim
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only. Post-doctoral scientists receive a scholarship base amount of 2,760 EUR each month, the grant for scientists with a post-doctoral lecturer qualification is worth 3,720 EUR. There are additional
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contrasting soil and environmental conditions. You will collaborate with data scientists to integrate empirical and novel evidence to improve the understanding of functioning of tropical and subtropical
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, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100
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, this sensory information needs to be translated to the operator side and be integrated into the overall control and sensing architecture of the robotic system. The project lasts for 4 years and the position may
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well as TU Darmstadt, Goethe University Frankfurt, and Darmstadt University of Applied Sciences. Through excellence-driven research, we jointly develop innovative solutions to pressing security and data
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take
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is expected. Background Information: Nat. Chem. 2015, 7, 105; Chem. Eur. J. 2019, 25, 4590; Angew. Chem. Int. Ed. 2019, 58, 418; Nanoscale 2021, 13, 19884. www.sengegroup.eu https://www.ias.tum.de
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qualified female academics to apply for the position. Disabled candidates will be given preference over other equally qualified applicants. Please send your application (cover letter, CV, certificates), along