7 machine-learning "Faculty of Earth Sciences, Geography and Astronomy" positions at Graz University of Technology in Austria
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simulation of power electronics Machine learning and EMC, in particular for optimization, risk analysis, and model calibration Your Profile Admission Requirements Completed master's or diploma degree in
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number of possible applications cannot be mapped experimentally, you then use established model-based approaches to train machine learning models that can be used to conveniently examine systems with a
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disciplines relevant for the position. Outstanding scientific qualification and relevant doctorate in the field of high-voltage engineering Experience in the application of machine learning in power engineering
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recent years, artificial intelligence and machine learning all play a significant role. As 80% of global data is related to a location and is used in a wide range of applications and research areas
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Offer Description Your Responsibilities Independent teaching and further development of Bachelor's and Master's courses in the Electrical Engineering, Information and Computer Engineering, Digital
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representation of the research group and its work, excellent spoken and written competence in English is expected. Fluencey in German or the willingness to acquire it between the first 2-3 years of service is
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- Teaching Supervision and Maintenance of the Chromatography Machines of the Institute (GC-MS, HPLC-MS) Research Organic Synthesis and Chemical Biology Writing of a dissertation Collaboration in research