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Field
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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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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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one PDF document. Please send them under the subject ”Post-doc” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 15.04.2022. She will also be happy to provide you with further information in advance
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document. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection
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suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard
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. Applications from qualified women are therefore expressly welcomed. Interested? You are welcome to contact us at any time with questions or for additional information. Please send your application with cover
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will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University
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have any specific questions about the position, please contact Prof. Dr. Axel Janke axel.janke(at)senckenberg.de For data protection information on the processing of personal data as part of
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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