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Field
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outstanding key performance indicators. Your tasks in detail: Contribute to develop an innovative process for the autothermal dehydrogenation of LOHC using fundamental knowledge of chemical engineering
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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degree in the fields of geosciences, resource management, energy technology, mechanical engineering, industrial engineering, physics, or comparable Basic knowledge in hydrology, resource management, energy
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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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, experimental physics or a comparable discipline Experience in instrumental analytical chemistry Knowledge of hydrogen and energy research is an advantage Experience in the practical application of GC-MS methods
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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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experience and enthusiasm for experimental work Basic knowledge of instrumental and preparative chromatography Fluent in written and spoken English Confident handling of common analytical software (e.g. Excel
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with scientific programming (e.g., MATLAB, LabView) is advantageous Knowledge of scientific instrumentation and electronics is desired Experience with (or willingness to learn) stop-flow spectroscopy and
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independently and in a team Desirable: Experience in conducting and analysing semi-structured interviews Knowledge of and/or experience with strengthening and stretching exercises for the prevention and treatment
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 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