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Field
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intelligence through hardware design. To this end, both the hardware foundation and the underlying hardware are continuously being developed. The design flow of these circuits and their (sub)systems is of
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Computing (Hardware for Artificial Intelligence) Reference Number: IV-151/25 Are you excited about designing hardware that mimics biological intelligence with the aim to explore and understand how the brain
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including digital design, systems and mixed-signal design What you bring to the table Completed scientific university studies in the field of electrical engineering, electronics, communication engineering
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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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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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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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RTL design for digital blocks, including design, synthesis, and timing closure Work independently in various phases of the RTL-to-GDS flow: focusing on hierarchical floor planning placement, clock tree
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focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent
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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so