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Field
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optical cavities, interferometry, linear photodetection, and low noise radio-frequency noise analysis is required. Experience with cryogenics and nanofabrication is a plus. An option to co-teach the 5
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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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, 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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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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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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data analysis. Make advances in one or more of: multimodal data fusion/joint inference; uncertainty quantification with realistic noise/measurement error; complex physics- and artifact-aware forward
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the direction of the Principal Investigator, the post-doctoral researcher will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease
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band structure and exciton binding energies, as well as their vibrational and transport properties. This role will utilize several state-of-the-art computational modelling techniques, in particular
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, structural health monitoring, or renewable energy systems. Strong experimental skills in materials characterization, electrochemical analysis, or vibration testing. Knowledge of energy harvesting principles