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of ex-change platforms (database, information pages, etc.); summarizing the results of the individual PhD study project in a dissertation. Successful candidates will work together with approx. 18 PhD
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psychology A successfully completed scientific university degree in psychology Accurate working and strong team spirit Confident handling of large, longitudinal data sets Competent use of statistics and data
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solving. Diverse research areas: Work on numerical models, analyzing large data sets, statistical methods and more in a unique scientific environment. Who Should Apply? Emphasizing the physical system
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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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only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed. Reference to data protection: Your data protection rights, the purpose for which
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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 institution sets its own deadline for the admission process. Please inform yourself in plenty of time about the application process at the host institution. Further information For detailed information please
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, Information and Technology Address StreetArcisstraße 21Zipcode80333CityMünchen Contact details Web: https://www.ce.cit.tum.de/cps/research/ Legal notice: The information on this website is provided
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regional excellence with the aim to trigger synergies. The PhD scholarships by Munich Aerospace are designed to allow junior scientists to fully focus on their research work and obtain their degrees in a
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available in the further tabs (e.g. “Application requirements”). Programme Description Early-career scientists from all countries of origin and any subject carrying out further research work into the field