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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
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, and as scientific papers Contribute to educational events, such as hackathons, data challenges and courses Your Profile: Completed university studies (masters degree) and a doctoral degree in computer science
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, conferences, and as scientific papers Contribute to educational events, such as hackathons, data challenges and courses Your Profile: Excellent Master`s degree in computer science, science, engineering or in a
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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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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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the modelling pipeline Your Profile: A university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation
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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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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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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