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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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laboratory work, complemented by a fieldwork component. Laboratory activities will include conducting mating experiments, as well as video, acoustic, and vibration recordings, signal analysis, and
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Desenvolvimento de Ciências, for the project “Fish Vibes - Vibrational sensing and production in fishes: investigations of the underwater vibroscape (reference: HFSP RESEARCH GRANT - RGP018/2025)”, financed by
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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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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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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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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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., 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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for project prototyping (e.g., 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
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on laboratory characterization data; (ii) structural analysis of road pavement and railway track systems integrating these alternative materials, with assessment of their dynamic (vibrations) and long-term