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Field
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. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied
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The successful candidates will be responsible for planning and conducting scientific experiments with the goal to prepare a peer reviewed paper The provision of academic services (including the processing of a
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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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with regard to further measurement methods Continuous literature research on plant stress detection using optical methods and corresponding data processing Writing reports and participating in workshops
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microscopy in biological science; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing
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they hold one of the following language qualifications: Englisch: IELTS (5,5) / TOEFL iBT (80) German: DSH II / TestDaF4x4 or higher Application Procedure Application deadline The application occurs online
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Materials” concentrates on the understanding of structure-performance indicators in electrocatalytic reactions. Our catalysts are the heart of sustainable energy conversion processes such as in hydrogen fuel
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?Energy Transfers in Atmosphere and Ocean? (www.trr-energytransfers.de). The results of the project will give insight into the processes setting ocean mixing rates, as well as their parameterization