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adsorbents and membranes for advanced water purification technologies. Position Overview: The successful candidate will lead innovative and interdisciplinary research focused on optimizing the application
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innovative and interdisciplinary research focused on optimizing the application of responsive covalent organic frameworks (COFs) for diverse challenges in water treatment, health, and energy. This role will
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-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical Systems, Privacy-Preserving Quantum Computing, and Fingerprinting for Quantum Computing. Strong
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RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets
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Tools for Quantum Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure
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Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical
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of the requested profile will entail development and optimization of chromatographic methods and protocols for fractionation, separation and identification by mass spectrometry of hydro-soluble and lipo-soluble
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therapeutic design, personalized diagnostics, and patient-specific treatment optimization. Leveraging the Human Phenotype Project’s longitudinal cohort data—from in-depth clinical assessments to continuous
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-Aware Optimizations for QML, QML Security, Error Correction for Quantum Computing, Secure Quantum-Classical Systems, Privacy-Preserving Quantum Computing, and Fingerprinting for Quantum Computing. Strong
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, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization