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the relevant training Is Your profile described below? Are you our future colleague? Apply now! Education · PhD degree with demonstrated theoretical and practical knowledge in Materials science and in
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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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MESA+ Nanolab or in collaboration with our partners. Your work will include selecting the most appropriate material platform, design the optical functionalities of the photonic integrated circuit, create
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execution of lab-scale grinding and classification trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze
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! Education · PhD degree with demonstrated theoretical and practical knowledge in Materials science and in electroactive ceramics or polymers Experience and skills · Excellent knowledge in
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researcher will contribute to one or more of the following research directions: 1. Superconductor–semiconductor hybrid quantum devices 2. Superconducting quantum circuits Salary range In compliance with NYC’s
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the molecular basis and influence of non-synaptic neurotransmitter release from axons (see PMID 34270947 and 39230890) in neural circuits. Additionally, the postholder will bring in vitro mammalian cell culture
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in animal models contribute to behavior and disease. The Ideal Candidate will have: A PhD in neuroscience or related discipline Prior experience in studying neural circuits Expertise with at least some
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, and documentation for internal and external design users. Conduct electronic and optoelectronic circuit design, using simulation, layout, and verification tools; collaborate closely with fabrication
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Learning and parameterised quantum circuits. Analysis of multi-omic data for the identification of therapeutic targets. Migration of algorithms from classical simulators to IBM quantum hardware