71 cyber-physical-system-data-mining PhD positions at Technical University of Munich in Germany
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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(f.mirzapour@tum.de) by 15.07.2022. She will also be happy to provide you with further information in advance. The position is suitable for disabled persons. Disabled applicants will be given preference in case
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, C++, etc.) Knowledge of machine learning, data mining, or related fields Excellent communication skills and ability to work in a collaborative team environment Interest in social science research
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document. Please send them under the subject ”PhD Biological Physics” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 30.04.2022. She will also be happy to provide you with further information in
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information. Please direct questions about the position to James Hawkins (james.hawkins@tum.de) or Prof. Mariana Rufino (mariana.rufino@tum.de ). More information about the Livestock Systems Research Group can
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knowledge in physical oceanography, climate change, Earth Observation, Big Data and data science as well as machine learning. This is an exciting opportunity to work on an exciting and ambitious project with
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hardware is developed in cooperation with Heidelberg university. Data analysis, writing and publishing research articles, and presenting at topical conferences/workshops are an integral part of this project
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is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you
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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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05.04.2023, Wissenschaftliches Personal We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated