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Field
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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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with colleagues and for sporting activities alongside work The opportunity to work flexibly (in terms of location), e.g. partly from home 30 days of annual leave and provision for days off between public
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of extension and entails 50% of the full-time weekly hours with the possibility of increase up to 100% of the full-time weekly hours, dependent on research funding availability. The period of employment is
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to increase up to 100% of the full-time weekly hours, dependent on research funding availability. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz
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the fundamental biology of osteosarcoma and how this governs the response to existing and emerging chemotherapeutics. Our aim is to use these insights to identify new treatment strategies and apply them
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the best opportunities for networking with colleagues and for sporting activities alongside work Flexible working hours and appropriate remuneration The opportunity to work flexibly (in terms of location
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Stay engaged with the latest research, experimenting with cutting
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design innovative memory arrays for non-volatile memories Develop