204 parallel-processing-bioinformatics positions at Technical University of Munich in Germany
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Exploiting quantum systems with more than two energy levels (qudits) Scaling compilation approaches to utilize the processing power of parallel systems/supercomputers To learn more about our previous work
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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Regulation (DSGVO) https://portal.mytum.de/kompass/datenschutz/Bewerbung/ regarding the collection and processing of personal data as part of your application. By submitting your application, you confirm
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/Bewerbung/ regarding the collection and processing of personal data as part of your application. By submitting your application, you confirm that you have taken note of TUM's data protection information
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inform you that submitted documents will not be returned after the completion of the application process, but will be destroyed in compliance with data protection regulations. Internal reference number
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on mountain forest dynamics, and how these can be moni-tored from remote sensing data. Specifically, tasks include: Processing and analysis of remote sensing data Combining remote sensing and field data
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(> 8.000€/year) for travel and participation in international conferences and workshops is available. Application Procedure Please submit the requested documents via MathJobs.org: 1. Motivation letter 2
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Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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processes Analysis of intermediate products and battery cell characteristics Independent work on research and industrial projects Guiding and supporting students in their study projects Teaching in the field