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; Expertise and experience in measuring and modelling of land-ocean element fluxes; Experience with (reactive transport) modelling software; Experience in field and laboratory work; Experience working
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skills, including the use of online databases for literature searches as well as bibliographic software. Excellent intercultural communication skills. Ability to work both independently and as part of a
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conferences and the preparation of project reports. Develop and apply software tools. Documentations of software and data according to the FAIR data principles. Contributions to workshops and training
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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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‘verification’ within the Cluster. Collaboration with colleagues at the Cluster, at PRIF and at JLU. Support for the local, national, and international networking activities of the Research Group, the Cluster and
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
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CV and a brief track record (publications, projects, software, funding experience if applicable) to florian.hinterwimmer@tum.de . We appreciate your interest in the Technical University of Munich and
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brief track record (e.g., publications, projects, software) to florian.hinterwimmer@tum.de . Severely disabled applicants will be given preferential consideration if equally qualified. Application costs
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and downstream processing Ideally familiarity with process simulation software such as Aspen Plus or DWSIM Ideally familiarity with 3D printing and other rapid prototyping techniques Strong teamwork and