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, supporting the development of sustainable energy systems in Germany and beyond. Your Profile: Technical master studies (mechanical engineering, electrical engineering, construction engineering) or
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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of "green" hydrogen from renewable electricity into sustainable energy carriers, chemicals, and fuels. In addition to efficient transport and storage properties, liquid energy carriers offer an alternative
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Research into innovative manufacturing processes Design, construction and validation of test stands What you bring to the table Master studies in mechanical engineering, process engineering or comparable
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spiking neural networks Your Profile: Current master studies in physics, computer science, mathematics, electrical/electronic engineering or a related science or engineering field Strong background in
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technology are expected. The focus of the candidate’s scientific work on should be application-oriented basic research in a current research area of pharmaceutical technology or related areas, preferably in
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demonstrations What you bring to the table Enrolled Bachelor/Master student in the field of electrical engineering, telecommunications engineering or related fields Strong understanding of networking fundamentals
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in existing projects about VHSP What you bring to the table You are a student of electrical engineering, communications engineering, photonics, physics or a related subject Knowledge of digital signal
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diploma or master’s degree specializing in Automation Engineering, Computer Engineering, Control Engineering, or Electrical Engineering. You already have knowledge in the field of automation engineering
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: 💡 Interested? Apply online now via our career portal and join the Fraunhofer UMSICHT team! We look forward to getting to know you. Please submit at least the following documents: Curriculum vitae Current