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Field
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integrated circuits (PICs) tailored to quantum applications. Quantum technologies, including neutral atom quantum computing and simulation, rely heavily on photonics for encoding, processing, and detecting
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Science and Nanotechnology, Atomic/Molecular and Optical Physics, Complex Systems and Computational Physics, Biophysics, and Plasma and Space physics. The Department is now seeking a postdoctoral researcher
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ATLANTIS team led by Dr Francisco J. Rodríguez-Fortuño. ATLANTIS investigates new physics and applications of optical and acoustic near-fields by challenging conventional assumptions about wave structure
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translate these devices to practical medical applications. Core Responsibilities: Simulation and design of optical imaging systems and piezoelectric ultrasonic transducers using ray tracing and the finite
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-resolution imaging implement and test novel instrument concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory
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, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected to assume a key role
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optics, quantum photonics, quantum information and spontaneous parametric down-conversion The Postdoctoral Researchers will work on the background theory, simulation, design, some aspects of
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/user behavior, Collect and analyze human performance data (reaction times, workload, situational awareness, eye tracking, etc.), Develop and validate computational models of human behavior in driving
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contribute to various aspects: - setting up the optical implementations of new concepts - testing and validation of new experimental set-ups - pilot/simulation programming - characterisation of various samples
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. Particular emphasis will be placed on scientific ability within the subject area. The following knowledge areas will form the basis for assessment: Quantitative remote sensing, including optical and radar data