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. The calibration is typically based on a figure of merit derived from experimental data, such as the average gate fidelity provided by the randomized benchmarking protocol. In realistic scenarios, these quantities
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successful application. For more information, please visit https://www.kmk.org/zab/zeugnisbewertung.html . By submitting your application, you consent to the processing of your personal data for the purpose
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for doctoral programmes: any time Additional information on beginning, duration and mode of study You can start your PhD preferably in winter semester (1 October) or summer semester (1 April). Application
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Languages All seminars and courses are held in English. German language courses are offered. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information
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funding, and equal opportunities. Detailed information on all funding programmes as well as application opportunities and requirements can be found on our website. Faculties Life and Natural Sciences
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information Recruitment We recruit PhD students through one central call in the year. Please keep an eye on our website or our social media, as the call openings will be announced there. Financial support Yes
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applying to the GTC, graduate students have to have an offer for a doctoral position from a Tübingen neuroscience lab. Accommodation General information on this topic is jointly provided by the welcome
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can only be submitted via our online system. For online application and further information go to: https://www.uni-muenster.de/CiM-IMPRS We offer 16 fully financed PhD positions. More positions financed
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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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semesters Beginning Winter semester Additional information on beginning, duration and mode of study Orientation weeks from 1 October Application deadline 1 March for the following winter semester Tuition fees