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candidate will: ● Conduct independent research in electrical engineering with applications in robust and efficient AI systems; design and develop circuits, methodologies, research experiments aligned with
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continuous-variable quantum computing using 3D cluster states and hybrid (photon number + quadrature) detection. TopQC2X (Innovation Fund Denmark): Experimental primitives for topological quantum computing
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key responsibilities will include: Designing and implementing advanced LabVIEW and C++ based control software for our HS-DAFM platform Developing specialized signal processing algorithms and circuits
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if their degree is conferred by the start of the fellowship. What You Will Do Design of high-speed optical modulators that will be fabricated by commercial silicon photonic integrated circuit foundries Fabricate
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, fabrication, and testing of integrated photonic devices and circuits. Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively
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algorithms, error correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical
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motivated and skilled Postdoctoral Researcher (Atomic, Molecular, and Optical Physics & Photonic Integrated Circuits). Working in the Precision Measurement Group, you will work with a team towards using
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validation procedures for CMOS integrated circuits Biomedical (preferred), analog, and/or power management circuits Embedded programming of microcontroller with Bluetooth Low Energy PCB board design (Altium
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Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC