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position is part of a large cooperation project with partners from industry and academia. The candidate will measure and model data on the reaction kinetics and mass transfer in reactive chemical systems. A
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explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. The position is suitable
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machine learning technologies. This PhD position is part of the project “Artificial Intelligence for the automated creation of multi-scale digital twins of the built world”, which is funded via the Georg
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environment using machine learning technologies. This PhD position is part of our research on exploiting social media data for earth observation tasks. The work will be on the topic of developing geographically
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workforce and explicitly encourages applications from qualified women. The position is suitable for severely disabled persons. Severely disabled applicants will be given preference in the event of otherwise
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-Mendel-Str. 4, 85354 Freising Tel. +49 8161 71 5130 marius.henkel@tum.de www.cellag.ls.tum.de | www.tum.de The position is suitable for disabled persons. Disabled applicants will be given preference in
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Sciences Gregor-Mendel-Str. 4, 85354 Freising Tel. +49 8161 71 5130 marius.henkel@tum.de www.cellag.ls.tum.de | www.tum.de The position is suitable for disabled persons. Disabled applicants will be given
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. Please send them under the subject ”PhD Behaviour” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 30.05.2022. She will also be happy to provide you with further information in advance. The position
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advance. 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