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development, please feel free to also look at other vacancies posted at the same time in the framework of the REDOX BLEND project. Job requirements We’re looking for a candidate with: A PhD degree, in chemical
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classification. *Some experience with quantum information science research is desirable but not essential. Application Instructions: Candidates are required to submit a Resume or CV and a Research Statement, not
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and optimization of measurement-based quantum computing protocols for quantum simulation of quantum many-body models. Preference will be given to candidates familiar with the stabilizer formalism and
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extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related
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-second class degree in Engineering, Mathematics, Computer Science or Physics. 2. A PhD (or be close to submission) in any of the above fields, or equivalent professional experience in a similar field
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temperatures based on these predictions. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation Section (TACS) at the Center for Nanophase Materials Sciences (CNMS
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/reactions, with increasing emphasis on using artificial intelligence and quantum information science. The group has access to extensive laboratory and national computational resources and has significant
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neuromorphic, stochastic, reservoir and probabilistic computing, and on the physical realization of probabilistic p-bits, laying the groundwork for future quantum-inspired computing concepts. Frontier research
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data in peer-reviewed journals and at conferences. Organize seminars and workshops. Hosting visiting speakers. Mentor graduate and undergraduate students. Qualifications PhD in Physics. A well-qualified
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platforms. Interdisciplinary Environment: Work alongside experts in nanofabrication, material growth, two dimensional materials, spin-orbit torques, and quantum devices in a vibrant and supportive research