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. The sub-project of the Phytophotonics department focuses on analysing hyperspectral imaging data for predicting infestations in field crops. The focal topics of the sub-project include: Realisation of a
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, which should include a cover letter, CV, academic transcripts, and contact information for two potential references, by email to kenichi.endo.2 at ipoc.uni-stuttgart.de or by post to the Institute
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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the institutes of the DRESDEN-concept environment. The chair hosts its own computer cluster and has full access to the high-performance computing infrastructure at ZIH Dresden, one of Germany’s leading
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-auditing at leuphana.de Web: https://www.leuphana.de/institute/imaf.html Legal notice: The information on this website is provided to the DAAD by third parties. Despite careful checking, the DAAD cannot
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be reimbursed. Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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teaching at the Chair, in particular with a focus on the planning and design of railroad systems application and continued development of digital planning methods such as Building Information Modeling