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groups. Applicants should hold, or be close to the completion of, a doctorate (DPhil or PhD) in experimental particle physics or related field and ideally have a strong background in analysis and hardware
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difficult to access on near-term quantum hardware. The difficulty is that the relevant Hilbert spaces grow rapidly, the dynamics are non-Gaussian and nonlinear, and the circuits must be mapped carefully
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Correction Circuits Design of parametric processes and quantum control of driven non-linear quantum devices Quantum computer architecture, hardware- and noise-aware compilers Computation with Dynamic Circuits
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(1) Applicants with expertise in one or more of the following areas are encouraged to apply: Imaging system and hardware development Robotics Ultrasound imaging, including ultrafast ultrasound
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. • Develop embedded control systems and software for robotic devices and supporting hardware. • Coordinate research objectives and technical requirements with clinicians, engineers, and multidisciplinary
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start) • Ability to collaborate effectively in a team environment; • Excellent written and oral communication skills; Preferred qualifications Demonstrated experience with hardware/system integration and
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semiconductor devices and circuits based on fully depleted silicon-on-insulator (FDSOI) technology for next-generation AI hardware. This position focuses on the design, fabrication, characterization, and modeling
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neuronal basis of Working Memory is a large plus, • Scientific hardware capability will be considered a plus – troubleshooting during recording sessions, • Interpersonal skills for patient interaction
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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
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optics, optical microscopy or imaging Prior experience integrating hardware and software Fluency in mathematic concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python