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, astrophysics, electronics, detector development, data analysis, and data science. Institution: Astrocent Department of the Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences Project leader
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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Vibration Techniques Concepts, operation and maintenance of ultra-low vibration experiments, including control of mechanical, acoustic, cabling, vacuum-line, and cryogenic noise. • High-field Superconducting
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refrigerators, based on both liquid 4He and cryofree cryostats. • Ultra-low Vibration Techniques Concepts, operation and maintenance of ultra-low vibration experiments, including control of mechanical, acoustic
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methodologies (i.e., X-Ray scattering, vibrational spectroscopy, scanning probe microscopy) to monitor dynamic interaction between hydrogen storage molecules and electrified catalyst surfaces for chemical
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, develops, validates, and demonstrates a vehicle-based monitoring system for continuous condition assessment of bridges, where vibration data are collected using trains, buses, and municipal service vehicles
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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students. Opportunities to Contribute Conducts field studies under general supervision. Travels to field locations. Conducts lab Analysis, using analytical equipment as needed. Utilizes the knowledge and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 14 days ago
gauge the acoustic footprint of ships in various types of Antarctic habitats as well as their cumulative impact on seasonal soundscapes and their cumulative impact on the local underwater noise budgets
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researcher will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms of various brain disorders using murine models and iPSC