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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 14 hours ago
(or equivalent) in any relevant field (life sciences, mathematics, physics, computer science, engineering, etc.)* Fluency in written and spoken English Strong motivation to pursue a PhD degree Note: The right
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, HSPICE, or similar IC design tools Knowledge in at least one area as an advantage: deep learning hardware development memory technology CMOS technology Analytical and structured thinking paired with strong
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as well as deadlines and the admission process, please visit our website at www.hertie-school.org/phd . Course organisation Doctoral education at the Hertie School is organised as a structured
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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant
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Max Planck Institute of Microstructure Physics • | Halle, Sachsen Anhalt | Germany | about 14 hours ago
technology transfer, and provides career counselling for admitted PhD students. We provide outstanding young scientists with a doctoral contract to cover their living expenses during their journey to a
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circuits, making these techniques particularly promising for early quantum applications. You will investigate techniques for the construction of random unitaries based on random quantum circuits and study
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 14 hours ago
Care and Music Faculty 5 Business, Law and Social Sciences Faculty 6 Architecture, Civil Engineering and Urban Planning Faculty for Health Sciences Financial support Yes Structured research and
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://www.uni-muenster.de/Geoinformatics/en/Studies/study_programs/PhD/application/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we