16 analog-integrated-circuit Postdoctoral positions at Chalmers University of Technology in Sweden
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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superconducting circuits. A part of the project is addressing specific challenges related to this goal. One such challenge is to efficiently read out quantum information from qubits. To achieve this, a first-stage
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initiative to develop a quantum computer based on superconducting circuits. Part of the project is also to solve specific problems related to this goal. A key challenge in this effort is mitigating errors in
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particles will be assembled into larger one-dimensional and three-dimensional structures and integrated with other material systems. Characterization techniques will include electron microscopy, X-ray-based
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center for catalysis at Chalmers. The goal of the center is to develop catalytic technology for sustainable transport, energy, and environmental systems. The center is integrated with the research and
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-, and fuel-related Risk Influence Factors (RIFs). Translate potential risk scenarios into Unity-based extended reality (XR) modules and embed proactive Risk Control Options (RCOs). Integrate developed
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within research and education. The following will strengthen your application: Familiarity with any of: molecular simulation methods (integrators, force fields, enhanced sampling), structural biology
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-based prediction and design of new, low-dimensional magnetoelectric materials. Low-dimensional materials are highly desirable for efficient device integration, and the intrinsic coupling between electric
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photonics integration. If you're passionate about advancing optical technology, do not hesitate to apply! Information about the division and the department An optical frequency comb is a laser source with
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for probing and sensing at the nanoscale using optical tweezers. You will contribute to both technical innovation --such as enhancing parallelized detection systems and integrating them with complementary