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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
, Applied Mathematics, Physics, Biophysics or a similar qualification Interest in and/or experience with AI/machine learning A willingness to learn and extend this knowledge and master new challenges in
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skills in agile project management and the application of workshop methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C
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and international network structure in order to integrate existing competences and knowledge, and to link various actors within the complex area of climate change. This 3-year position, part of
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opportunities within the university No Academic admission requirements "Good" or better MSc, Dipl-Ing, or equivalent "Diplom" as accepted by the University of Stuttgart and a profound knowledge of the fields
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should be worked out. Furthermore, the knowledge of the respective functioning of ancient images and artifacts should be combined with the contemporary possibilities of visual presentation. International
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journals, and at national and international conferences Your Profile: Master’s degree in chemistry or materials science, completed with excellent grades In-depth knowledge (specialization) in synthetic and
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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to impart both scientific and methodological knowledge and offers the opportunity to regularly present doctoral projects in internal events and benefit from scientific exchange. You can find information
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to impart both scientific and methodological knowledge and offers the opportunity to regularly present doctoral projects in internal events and benefit from scientific exchange. You can find information
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experience in software engineering, with a sound understanding of key principles and best practices. Knowledge of the following areas is desirable: Experience and/or prior knowledge in one of the following