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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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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
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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 Responsible for RTL design (VHDL, Verilog) of digital blocks and
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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 Responsible for writing Verilog/ VHDL code for AI blocks Perform
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deadline Applications must be received by 15 August. Submit application to Prof Dr Thomas Maissen (thomas.maissen@zegk.uni-heidelberg.de ) Possibility of finding part-time employment Doctoral students can
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Your Job: Climate change is already reshaping our world and will continue to do so in the coming decades. Reducing greenhouse gas emissions is essential to limiting future climate change, with
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for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society
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that cannot be avoided for technical or economic reasons. In the future, these must be captured and stored, used as raw materials, or offset by negative emissions. It can be assumed that storage and utilization
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) starting July 1,2025. The position is limited until June 30, 2028 and comprises 75% of the full-time weekly hours. The period of employment is governed by the Fixed Term Research Contracts Act
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-IEK3-VSA/FINE) . Furthermore, you will use and extend existing lightweight Large Language Models (LLMs) to assess future technological characteristics. Your tasks in detail: Using/Extending methods