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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s
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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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the Institute of Physical Chemistry in Warsaw and Stuttgart University. Your Profile: You are an enthusiastic and motivated researcher You have a Masters degree and a PhD in physics, chemistry, engineering or
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-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meetings, conferences
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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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for self-supervised learning in science Engage in national and international ML/DL communities, most importantly the Helmholtz Foundation Model Initiative Present research results at scientific meeting
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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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preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and