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for sintering What you bring to the table Enrolled in one of the following or related fields of study: Chemistry, Engineering: Electrical Engineering, Materials Science Chemical understanding and knowledge
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to the table You study computer science, electrical engineering or a similar subject. Good programming skills in Python Knowledge in deep learning Experience with object detection algorithms, e.g. Yolo or Faster
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interdisciplinary team combines expertise in computer science, electrical engineering, psychology, and neuroscience to create innovative solutions for understanding human-computer interaction. Become a part of our
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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and ongoing Master's or Diploma studies in Electrical Engineering, Computer Science, Artificial Intelligence, or a related discipline Strong understanding and hands-on experience with Spiking Neural
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As one of 76 institutes of the Fraunhofer-Gesellschaft we show how to not only master crises, but grow from them. Pushing boundaries. Always trying something new. Not just thinking, but thinking
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biomass, ammonia, hydrogen or electricity. You can find more information under: Combustion technology and emission reduction What you will do Diverse and varied activities as part of the processing and
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research. What you bring to the table You have a completed university degree (Master's) in electrical engineering, communications engineering, computer science, or microsystems engineering, or a comparable
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relevant algorithms Perform tests on available simulation models Evaluate and document the results What you bring to the table You are close to completing a master's in electrical engineering, computer
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of microelectronics and microsystem technology. These nano- and microtechnologies are the basis for the other competence areas at Fraunhofer EMFT: sensor solutions, safe and secure electronics, and micropumps