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Field
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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 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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sensors based on the integration of organic light emitting diodes (OLED) onto silicon CMOS substrates. Here, our activities range from the initial idea, through design in close cooperation with the OLED
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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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and optimizing building designs will be developed. The goal of this project is to develop a methodology for automatically checking building designs against regulations, and then provide reasoning about
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cryogenic modules. The candidate will be responsible for the development of the superconducting re-buncher for the third cryogenic module of HELIAC. Another important task will be the design and
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of the superconducting re-buncher for the third cryogenic module of HELIAC. Another important task will be the design and implementation of an automated test stand for superconducting cavities of HELIAC, which
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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they adapt, and engineer bioreactors that turn this challenge into a design advantage. PhD 2:Make microbes build cities. You will develop and study gas-fermenting granular communities that organize themselves
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Europe research and innovation program under the MARIE SKŁODOWSKA-CURIE grant agreement no 101227277. Research areas: DC5: High-Voltage PPU for E-sail Terms: The position is limited to 36 months