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Superconductors" at the Institute of Metallic Materials (IMW) offers a PhD position (m/f/div) in the field of superconducting dynamos Main tasks: The central research task is to investigate and optimize the use
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Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
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engineering with TensorFlow or similar frameworks Ability to develop Spiking Neural Networks from scratch, including training and quantization Optimize and benchmark applications and models for neuromorphic
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generation routing and power distribution network generation for efficient timing closure and sign-off, including signal integrity Optimize design for power, performance, and area (PPA) Contribute to defining
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for optimizing existing Mg-RE alloys and will lay the groundwork for the development of digital twins and new RE-free Mg alloy systems. Your profile #a master?s degree in Materials Science, Mechanical Engineering
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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the field of natural or (industrial) engineering, informatics, or a related field of study Very good knowledge of energy technology, energy economics and energy politics Initial experience in energy system
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Course location Stuttgart Description/content The Graduate School of SimTech offers an interdisciplinary structure and international training programme in order to prepare the candidates with
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choose to write the doctoral thesis in either language. Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Check for current openings on our website
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Your Job: Random unitaries are a ubiquitous tool in quantum information and quantum computing, with applications in the characterization of quantum hardware, quantum algorithms, quantum cryptography