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Field
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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
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Your Job: Design and development of an in-house X-ray beamline for long term operando investigation of chemical hydrogen storage reactors Unravelling of relationships between catalyst structure 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 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