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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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of IC design with a focus on new architectures of CMOS backplanes. What you will do Developing, implementing and experimentally testing concepts for CMOS backplanes for OLED microdisplays Designing analog
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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 IC design with a focus on new architectures of CMOS backplanes. What you will do Developing, implementing and experimentally testing concepts for CMOS backplanes for OLED microdisplays Designing analog
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focus will be on the use and development of automated and innovative design tools. You'll use access to cutting-edge, CMOS-based IC technologies for your research. What you bring to the table You have a
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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, accounting for real-world device features and non-idealities Contribute to benchmarking and evaluation frameworks, identifying “champion” designs for PCB or IC prototyping More specifically, you will: Conduct
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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Your Job: Analysis of market dynamics in the context of Innovation Ecosystems and Diffusion Theory Systematic integration of concepts from institutional, behavioral, and resource economics
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modelling of the GIA process and elaborate on constraints regarding geological and glacial-geomorphological findings for the reconstruction of ice-load history in Antarctic regions as well as the geodynamic