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in Theoretical Physics (FRHTP). QNM-I is an interdisciplinary QIS research center, with participating faculty from physics & astronomy, chemistry, electrical & computer engineering, computer
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course. Current research examines how sensory experience, nutritional state, and reproductive demands influence longevity, metabolic homeostasis, and age-related functional decline. The laboratory also has
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the electrolyte exchange charge with solid booster materials held in the storage tanks, decoupling energy density from active-material solubility while preserving the modularity and safety of aqueous flow batteries
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electromagnetic shielding performance. Current focus areas include magnetic MXenes and large-unit-cell magnetic hexaferrites, although candidates with expertise in related aspects of computational materials
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, Machine Learning, Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, or a related field. Experience with image analysis, computer programming using Python and R, and machine
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, Electrical Engineering, and Materials Science Engineering, or a closely related discipline. Demonstrated experience in terahertz generation and characterization, free-space optic experiments, antiferromagnetic
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tissue electrical polarisation influence cell–matrix interactions during lung fibrosis progression. The postholder will develop bioelectronic in vitro platforms to precisely control matrix deformation and
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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 21 days ago
during these blooms have never been investigated, though they may be associated with the airborne toxicity. In this context, the postdoc will be in charge to investigate the nature and the fluxes
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films, including microwave resonators for frequency-domain multiplexed readout of single-photon detectors using kinetic inductance current sensors Develop and characterize superconducting nanowire single
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that influence human interaction and learning. While multimodal systems are already being developed to monitor physical and cognitive engagement, current approaches offer limited interpretability and often do not