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for candidates with completed scientific university education (Master's/Diploma) in food chemistry, chemistry or a related field sound knowledge and experience in the use of instrumental analytical methods such as
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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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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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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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, cheminformatics or closely related field Excellent English language skills (written and spoken) Highly motivated to work in a cooperative manner within the RTG Desirable knowledge and skills include: o
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theoretical and experimental knowledge, methodological and general research skills, and the opportunity to develop your personal strengths. As a member of the structured training program you will benefit from
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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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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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, structured and target oriented way of working Knowledge in English and German Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive