31 postdoc-in-postdoc-in-automation-and-control-"Multiple" PhD positions at Forschungszentrum Jülich
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Your Job: As part of your activities, you will carry out investigations of the continuous butanediol dehydrogenation under dynamic hydrogen release using pressure control in the laboratories
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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the manufacturing and characterization of material samples. As such, the position offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated
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Infrastructure? No Offer Description Area of research: Promotion Job description: Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and
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offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated workflows for descriptor based microstructure reconstruction to identify
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
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devices. Your tasks in detail are: Design and fabrication of superconducting quantum circuits Setting up experimental systems for cryogenic measurements Development of a microwave quantum control & readout
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slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is the development of meta-optimization techniques that can automatically search
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science