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of the frequency-dependent measurements Determination of resistive and non-radiative recombination losses due to the different layers and their interfaces Your Profile: Bachelor Degree in physics, material science
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on simulations, using and extending the gem5-model developed within the frame of the EPI project. Your Profile: Enrolled in a Master (M.Sc.) Course for computer science or similar field Good analytical view
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Write reports and research articles, as well as grant proposals, and regularly participate in international conferences to present your own work Your Profile: Masters and PhD degree in computer science
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building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a programming
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of the Modelica building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a
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program in engineering, computer science, data science or a related field of study High interest in data processing and analysis and producing interesting plots using Python Very good Python (or other
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and efficiency Your Profile: Very good academic record and currently enrolled in a Master’s program in engineering (energy technology, mechanical engineering, industrial engineering) or a related field
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Your Job: However, one of the main hurdles related to AEMWE technology is to develop low-cost and robust catalysts that can withstand the harsh reaction environment without compromising
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: Scientific and/or technical background (physics / electrical engineering etc.) Good grades in the current Master`s programme Good knowledge of English and German High degree of independence and effective way
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field of natural sciences or engineering You have strong knowledge of European research funding and research policy issues such as artificial intelligence and cybersecurity, computational sciences and