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accessibility for diverse audiences. With a technology- and outcome-agnostic approach, we comprehensively assess both the current state of available NISQ computers and the future potential of quantum applications
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program in computer science, electrical engineering, mathematics, or a comparable field of study Good knowledge of the Python programming language Solid knowledge in at least one of the following areas
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Materials is part of the Research Training Group 3082 “Engineering Covalent Bonds in Molecules and Materials” (Ec=m2), funded by the DFG (German Research Foundation) at Saarland University. For this project
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along the entire semiconductor value chain and on tailer-made synthetic diamonds. Whether high-frequency circuits for communications technology, voltage converter modules for electromobility, laser
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you bring to the table You are studying mechanical engineering, industrial engineering, electrical engineering, or a comparable field of study You are interested in production engineering and the
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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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Study of mathematics, computer science, geoinformatics, physics, electrical engineering, or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as
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: Actively communicate with your team and coordinate shared tasks. What you bring to the table Academic Background: You are currently pursuing a Bachelor's or Master's degree in Physics, Electrical Engineering
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development
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engineering, electrical engineering, industrial engineering), physics, mathematics, or a related field You have extensive experience in industrial ecology and material flow analysis and are confident in