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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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possible selection criteria Research on aggregation methods for raw material requirements at technology and system level Familiarization with the national energy system model ETHOS.NESTOR and, if necessary
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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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electrochemical NMR setups may influence spin state preparation using spectrograms Your Profile: Ongoing master studies in chemistry, physics, data science, computer science or a related field Knowledge on
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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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, material science or similar Fundamental knowledge of solid state physics is a plus Practical skills and interest in laboratory work High degree of independence, motivation and reliability Fluent command
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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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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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position papers and statements. You build networks with relevant EU institutions (Commission and Parliament) and inform the Helmholtz Center and the Association about relevant science policy developments and
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. from neuro- or plant sciences Advance our understanding of the underlying theory, as well as applicability to scientific applications, where explainability, interpretability, and reliability are as