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for new wind farms. In this context, accurately predicting the propagation of wind turbine noise in the atmosphere is essential to better understand the underlying physical mechanisms and to conduct
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 20 days ago
solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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Physics » Quantum mechanics Researcher Profile First Stage Researcher (R1) Application Deadline 23 May 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per
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University). The student will join the group of Nicolas Bachelard and focus on experimental optomechanics. Optomechanics explores the interaction between light and mechanical vibrations [1]. As a typical
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performance (noise, charge resolution, stability) and optimization of ultra-low background conditions. This phase will provide comprehensive training in experimental physics. Second, the direct search for dark
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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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and investigates acoustic behaviour of different PV technologies when (A) used as roadside noise barriers and (B) integrated into building façades. The project contributes to emerging “green acoustics
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Museum fuer Naturkunde, Leibniz Institute for Evolution and Biodiversity Science | Berlin, Berlin | Germany | 4 days ago
, chemicals, sound, vibrations and other stimuli depends on an extraordinary range of sensory cell types. The diversity and relationships between these receptor cells across the animal phyla, how they have been
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. The techniques used will include Laser Doppler Vibrometry (LDV) and Air Coupled (AC) ultrasound detection. The candidate will design optimized setups for (i) vibration excitation by an impactor or ultrasonic
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matter to photons is, however, a major source of loss, decoherence, and noise. Understanding the fundamental limits, dominant error mechanisms, and learnable effective models of such transduction processes