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Field
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players in the industry like Qualcomm [2], Intel [3] and Google [4], Meta [5] have already proposed CMOS chips for the implementation of AI. However, these dedicated integrated circuits are currently
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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
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electronics, or related areas. • Familiarity with integrated circuit design, signal processing, or multiphysics simulations is advantageous. • Interest in cross-disciplinary research at the interface of sensor
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, delving into the complex physics of color centers, and developing technology based on integrated photonic circuits for quantum applications. You will be part of a team of talented PhD students within
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integrated circuit design, testing and simulation using Cadence is a plus Knowledge of evolutionary optimization methods is a plus Very good communication skills in English, both spoken and written. PGI-15
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, and enabling faster power management loops with better power integrity and savings. By minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal management and thus
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to embed qubits in scalable systems and help bring quantum technology to real-world applications? We are seeking a PhD researcher to work at the interface between color center physics and integrated
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minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal management and thus to a higher overall system efficiency. This PhD research project targets the development
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interventions, creating environmentally sustainable devices, and developing simulators to reduce reliance on in vivo testing. The training network is interdisciplinary, integrating various fields such as
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discipline boundaries and abstraction levels is a must. Knowledge in integrated circuit design, testing and simulation using Cadence is a plus. Knowledge of digital neuromorphic hardware and sensors is a plus