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We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
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Manufacture at Chalmers University of Technology , focused on innovative research in the design and synthesis of sustainable polymers to be used as a binder for the electrode processing of the lithium ion
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multidisciplinary environment. The Division of Applied Chemistry comprises around 90 researchers, including PhD students, working in surface chemistry, polymers and catalysis. Research at Applied Chemistry focuses
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equivalent foreign degree in fiber and polymer science or equivalent. This eligibility requirement must be met no later than the time the employment decision is made . Strong written and verbal communication
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are mandatory: A doctoral degree, or an equivalent foreign degree, in Materials Science, Polymer Chemistry, or Mechanical Engineering. This eligibility requirement must be met no later than the time the
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researchers working mainly in surface chemistry, polymers and catalysis across several sub-units. Research at the Division of Applied Chemistry focuses on energy, materials design, nanotechnology, catalysis and
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miniaturization of such wires so that they can have 10 times as many electrodes as before. We work with e-beam lithography and flexible polymer substrates such as polyimide. In the first part of the Post Doc, you
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the value chain, by connecting data from databases, sensors, and machines to build a digital copy of the manufacturing environment, as well as linking the digital world back to the real production system
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. Demonstrated hands-on experience with circuit simulation and layout tools (e.g., Cadence, ADS, HFSS) and high-frequency measurements is highly meritorious. A strong publication record in relevant areas is
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within the last three years prior to the application deadline Experience in design and fabrication of superconducting quantum devices Hands on microwave simulation software Experience in low-noise high