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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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evaluate anthropogenic noise in accordance with MSFD (Marine Strategy Framework Directive) requirements. (4) Proficiency with bioacoustics analysis tools, particularly Raven Pro and R, with experience using
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information about such events. In the project we will focus on characterization of offshore noise that might impact the DAS data and develop methods for reducing the impact of such noise. Mathematical methods
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tensor inversion, and waveform frequency content analysis. The role may include seismic imaging of crustal structure using techniques such as local earthquake tomography, ambient noise tomography and
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postdoctoral researchers to work on superconducting materials having flat bands and to characterize such novel superconductivity using ultralow-noise microwave experiments. The work is at the leading edge
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noise and sensor uncertainties. Applied Artificial Intelligence and Data AnalysisProficiency in multivariate analysis techniques (PCA, regression, clustering) and predictive risk models; Experience with
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polarized 3He lab, a dilution refrigerator, and a vibration isolated lab for weak force measurement. The laboratory possesses infrastructure on a scale which enables us to make major hardware contributions
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. Bharathram Ganapathisubramani, collaborating with the European Space Agency (ESA) and NHS Hampshire Hospitals. More information about the project is available at https://project-pasta.com . Key
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., smell delivery devices, vibration, sound, etc.). Lead and supervise user study testing, including direct observation to gain first-hand exposure to user experiences. Lead and supervise workshops with
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: Work requires occasionally lifting moderate weight materials, standing, or walking continuously. Work Environment: Occasional exposure to dust, noise, temperature changes, or contact with water or other