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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 43 minutes ago
. Develop and validate models for the acoustic scattering properties of mixed-composition seafloors. Use acoustic scattering models to identify signal processing strategies for seabed characterization
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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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learning and deep learning. Specific Requirements PhD in acoustics. Knowledge of acoustical measurement techniques, as well as physical acoustics. Some experience in acoustic signal processing and machine
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acquisition, signal processing, and data analysis for pilot studies and clinical validation. 7, Perform other duties and responsibilities as assigned. Requirements 1, Ph.D. in Mechanical Engineering, Biomedical
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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ATLANTIS team led by Dr Francisco J. Rodríguez-Fortuño. ATLANTIS investigates new physics and applications of optical and acoustic near-fields by challenging conventional assumptions about wave structure
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AI or machine learning applications. Formal training or professional experience in audio engineering, recording arts, or signal processing. Experience with acoustic software platforms (e.g., Pro Tools
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
-10346 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Signal Processing, or a closely related field, completed or nearly completed at the start date. Strong background in