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University of Notre Dame to develop novel on-chip superconducting quantum detectors with magnetic targets for low-energy axion dark matter detection. Key Responsibilities: Develop superconducting hybrid
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challenges that go beyond the published literature. As such we are looking for a candidate that has shown the ability to create their own experimental apparatus and materials to solve challenges. The position
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beyond traditional error estimators, creating physics-based adaptation algorithms that intelligently predict where refinement will be most beneficial for smarter, more efficient simulations. We seek
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programming languages such as Python, Go etc. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and written communication skills, and ability